Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(association rule mining). Showing records 1 – 30 of 91 total matches.

[1] [2] [3] [4]

Search Limiters

Last 2 Years | English Only

▼ Search Limiters


University of Lethbridge

1. University of Lethbridge. Faculty of Arts and Science. Two new approaches to evaluate association rules .

Degree: 2010, University of Lethbridge

 Data mining aims to discover interesting and unknown patterns in large-volume data. Association rule mining is one of the major data mining tasks, which attempts… (more)

Subjects/Keywords: Data mining; Association rule mining; Dissertations, Academic

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Science, U. o. L. F. o. A. a. (2010). Two new approaches to evaluate association rules . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/2530

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Two new approaches to evaluate association rules .” 2010. Thesis, University of Lethbridge. Accessed November 13, 2019. http://hdl.handle.net/10133/2530.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Two new approaches to evaluate association rules .” 2010. Web. 13 Nov 2019.

Vancouver:

Science UoLFoAa. Two new approaches to evaluate association rules . [Internet] [Thesis]. University of Lethbridge; 2010. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10133/2530.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Science UoLFoAa. Two new approaches to evaluate association rules . [Thesis]. University of Lethbridge; 2010. Available from: http://hdl.handle.net/10133/2530

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


AUT University

2. Vithal Kadam, Omkar. Novel applications of Association Rule Mining- Data Stream Mining .

Degree: 2010, AUT University

 From the advent of association rule mining, it has become one of the most researched areas of data exploration schemes. In recent years, implementing association(more)

Subjects/Keywords: Data stream mining; Association rule mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vithal Kadam, O. (2010). Novel applications of Association Rule Mining- Data Stream Mining . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vithal Kadam, Omkar. “Novel applications of Association Rule Mining- Data Stream Mining .” 2010. Thesis, AUT University. Accessed November 13, 2019. http://hdl.handle.net/10292/826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vithal Kadam, Omkar. “Novel applications of Association Rule Mining- Data Stream Mining .” 2010. Web. 13 Nov 2019.

Vancouver:

Vithal Kadam O. Novel applications of Association Rule Mining- Data Stream Mining . [Internet] [Thesis]. AUT University; 2010. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10292/826.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vithal Kadam O. Novel applications of Association Rule Mining- Data Stream Mining . [Thesis]. AUT University; 2010. Available from: http://hdl.handle.net/10292/826

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

3. Kanimozhiselvi C S. An investigation on automatic support thresholds for association rule mining.

Degree: Association rule mining, 2013, Anna University

The process of Knowledge Discovery in Database is aimed at extracting useful information from large databases. Among the several steps of Knowledge Discovery in Databases,… (more)

Subjects/Keywords: Knowledge Discovery; Data mining; Rule mining; Exact association rule

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

S, K. C. (2013). An investigation on automatic support thresholds for association rule mining. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9847

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

S, Kanimozhiselvi C. “An investigation on automatic support thresholds for association rule mining.” 2013. Thesis, Anna University. Accessed November 13, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/9847.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

S, Kanimozhiselvi C. “An investigation on automatic support thresholds for association rule mining.” 2013. Web. 13 Nov 2019.

Vancouver:

S KC. An investigation on automatic support thresholds for association rule mining. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Nov 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9847.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

S KC. An investigation on automatic support thresholds for association rule mining. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9847

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


AUT University

4. Pisalpanus, Songwut. A landmark model for assigning item weight for pattern mining .

Degree: 2012, AUT University

 In weighted association rule mining, items are typically weighted based on background domain knowledge. However, it may not be feasible to gather domain information on… (more)

Subjects/Keywords: Weight estimation; Landmark weights; Association Rule Mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pisalpanus, S. (2012). A landmark model for assigning item weight for pattern mining . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/4684

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pisalpanus, Songwut. “A landmark model for assigning item weight for pattern mining .” 2012. Thesis, AUT University. Accessed November 13, 2019. http://hdl.handle.net/10292/4684.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pisalpanus, Songwut. “A landmark model for assigning item weight for pattern mining .” 2012. Web. 13 Nov 2019.

Vancouver:

Pisalpanus S. A landmark model for assigning item weight for pattern mining . [Internet] [Thesis]. AUT University; 2012. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10292/4684.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pisalpanus S. A landmark model for assigning item weight for pattern mining . [Thesis]. AUT University; 2012. Available from: http://hdl.handle.net/10292/4684

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

5. Wang, Chun-chin. A Study of Multi-site On-shelf Data Mining.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 Temporal data mining techniques have been widely used to extract desirable time-related knowledge from existing databases. However, most of the existing studies only considered different… (more)

Subjects/Keywords: data mining; temporal association rule; association-rule mining; on-shelf time period; multi-site environment

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, C. (2013). A Study of Multi-site On-shelf Data Mining. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-165134

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Chun-chin. “A Study of Multi-site On-shelf Data Mining.” 2013. Thesis, NSYSU. Accessed November 13, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-165134.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Chun-chin. “A Study of Multi-site On-shelf Data Mining.” 2013. Web. 13 Nov 2019.

Vancouver:

Wang C. A Study of Multi-site On-shelf Data Mining. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Nov 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-165134.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang C. A Study of Multi-site On-shelf Data Mining. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0713113-165134

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

6. Wu, Jingtong. Interpretation of association rules with multi-tier granule mining.

Degree: 2014, Queensland University of Technology

 This study was a step forward to improve the performance for discovering useful knowledge – especially, association rules in this study – in databases. The… (more)

Subjects/Keywords: Data mining; Association rule mining; Granule mining; Decision rules; Rough sets

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, J. (2014). Interpretation of association rules with multi-tier granule mining. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/71455/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Jingtong. “Interpretation of association rules with multi-tier granule mining.” 2014. Thesis, Queensland University of Technology. Accessed November 13, 2019. https://eprints.qut.edu.au/71455/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Jingtong. “Interpretation of association rules with multi-tier granule mining.” 2014. Web. 13 Nov 2019.

Vancouver:

Wu J. Interpretation of association rules with multi-tier granule mining. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2019 Nov 13]. Available from: https://eprints.qut.edu.au/71455/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu J. Interpretation of association rules with multi-tier granule mining. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/71455/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Durban University of Technology

7. Singh, Pariksha. Validating cohesion metrics by mining open source software data with association rules.

Degree: 2008, Durban University of Technology

Dissertation submitted for the fulfillment of the requirement for the degree of Masters in Information Technology, Department of Information Technology, Faculty of Accounting and Informatics,… (more)

Subjects/Keywords: Open source software; Data mining; Association rule mining; Software measurement

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Singh, P. (2008). Validating cohesion metrics by mining open source software data with association rules. (Thesis). Durban University of Technology. Retrieved from http://hdl.handle.net/10321/427

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Singh, Pariksha. “Validating cohesion metrics by mining open source software data with association rules.” 2008. Thesis, Durban University of Technology. Accessed November 13, 2019. http://hdl.handle.net/10321/427.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Singh, Pariksha. “Validating cohesion metrics by mining open source software data with association rules.” 2008. Web. 13 Nov 2019.

Vancouver:

Singh P. Validating cohesion metrics by mining open source software data with association rules. [Internet] [Thesis]. Durban University of Technology; 2008. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/10321/427.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Singh P. Validating cohesion metrics by mining open source software data with association rules. [Thesis]. Durban University of Technology; 2008. Available from: http://hdl.handle.net/10321/427

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

8. Van der Valk, R.J.A. Why My Payment Got Rejected: A Method to Mine Payment Refusal Clues:.

Degree: 2015, Delft University of Technology

 A significant amount of payments fail for seemingly ‘mysterious’ reasons when refused by an issuer (i.e. cardholder’s bank). The technical and social complexities, such as… (more)

Subjects/Keywords: payments; data mining; association rule mining; moral hazard; principal-agent problem

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Van der Valk, R. J. A. (2015). Why My Payment Got Rejected: A Method to Mine Payment Refusal Clues:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:9768c196-e490-4ad7-b9e1-0912c5ebf6a4

Chicago Manual of Style (16th Edition):

Van der Valk, R J A. “Why My Payment Got Rejected: A Method to Mine Payment Refusal Clues:.” 2015. Masters Thesis, Delft University of Technology. Accessed November 13, 2019. http://resolver.tudelft.nl/uuid:9768c196-e490-4ad7-b9e1-0912c5ebf6a4.

MLA Handbook (7th Edition):

Van der Valk, R J A. “Why My Payment Got Rejected: A Method to Mine Payment Refusal Clues:.” 2015. Web. 13 Nov 2019.

Vancouver:

Van der Valk RJA. Why My Payment Got Rejected: A Method to Mine Payment Refusal Clues:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Nov 13]. Available from: http://resolver.tudelft.nl/uuid:9768c196-e490-4ad7-b9e1-0912c5ebf6a4.

Council of Science Editors:

Van der Valk RJA. Why My Payment Got Rejected: A Method to Mine Payment Refusal Clues:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:9768c196-e490-4ad7-b9e1-0912c5ebf6a4


Iowa State University

9. Kim, Dongwook. Learning dispatching rules via an association rule mining approach.

Degree: 2015, Iowa State University

 This thesis proposes a new idea using association rule mining-based approach for discovering dispatching rules in production data. Decision trees have previously been used for… (more)

Subjects/Keywords: Industrial Engineering; Association rule mining; Data mining; Decision tree; Scheduling; Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kim, D. (2015). Learning dispatching rules via an association rule mining approach. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14383

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kim, Dongwook. “Learning dispatching rules via an association rule mining approach.” 2015. Thesis, Iowa State University. Accessed November 13, 2019. https://lib.dr.iastate.edu/etd/14383.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kim, Dongwook. “Learning dispatching rules via an association rule mining approach.” 2015. Web. 13 Nov 2019.

Vancouver:

Kim D. Learning dispatching rules via an association rule mining approach. [Internet] [Thesis]. Iowa State University; 2015. [cited 2019 Nov 13]. Available from: https://lib.dr.iastate.edu/etd/14383.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kim D. Learning dispatching rules via an association rule mining approach. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14383

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

10. Ramachandran, Chandrasekar. A Framework for Knowledge Discovery from Sparse, High-Dimensional Medical Datasets.

Degree: MS, 0112, 2010, University of Illinois – Urbana-Champaign

 In this work, we describe a comprehensive framework for knowledge discovery from medical records called SDM-Miner. The records are created before, during and after pancreatic… (more)

Subjects/Keywords: islet cell transplants; medical data mining; dimensionality reduction; association rule mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ramachandran, C. (2010). A Framework for Knowledge Discovery from Sparse, High-Dimensional Medical Datasets. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14710

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ramachandran, Chandrasekar. “A Framework for Knowledge Discovery from Sparse, High-Dimensional Medical Datasets.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed November 13, 2019. http://hdl.handle.net/2142/14710.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ramachandran, Chandrasekar. “A Framework for Knowledge Discovery from Sparse, High-Dimensional Medical Datasets.” 2010. Web. 13 Nov 2019.

Vancouver:

Ramachandran C. A Framework for Knowledge Discovery from Sparse, High-Dimensional Medical Datasets. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2142/14710.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ramachandran C. A Framework for Knowledge Discovery from Sparse, High-Dimensional Medical Datasets. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14710

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

11. Wu, Pei-Shan. Temporal Data Mining with a Hierarchy of Time Granules.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 Data mining techniques have been widely applied to extract desirable knowledge from existing databases for specific purposes. In real-world applications, a database usually involves the… (more)

Subjects/Keywords: a hierarchy of time granules; item lifespan; temporal association rules; association-rule mining; Data mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, P. (2012). Temporal Data Mining with a Hierarchy of Time Granules. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-142127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Pei-Shan. “Temporal Data Mining with a Hierarchy of Time Granules.” 2012. Thesis, NSYSU. Accessed November 13, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-142127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Pei-Shan. “Temporal Data Mining with a Hierarchy of Time Granules.” 2012. Web. 13 Nov 2019.

Vancouver:

Wu P. Temporal Data Mining with a Hierarchy of Time Granules. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 Nov 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-142127.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu P. Temporal Data Mining with a Hierarchy of Time Granules. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0828112-142127

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Kentucky

12. Abar, Orhan. Rule Mining and Sequential Pattern Based Predictive Modeling with EMR Data.

Degree: 2019, University of Kentucky

 Electronic medical record (EMR) data is collected on a daily basis at hospitals and other healthcare facilities to track patients’ health situations including conditions, treatments… (more)

Subjects/Keywords: NLP; Machine Learning; Deep Learning; Association Rule Mining; Contrast Sequential Rule Mining; Causal Association; Artificial Intelligence and Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Abar, O. (2019). Rule Mining and Sequential Pattern Based Predictive Modeling with EMR Data. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/cs_etds/85

Chicago Manual of Style (16th Edition):

Abar, Orhan. “Rule Mining and Sequential Pattern Based Predictive Modeling with EMR Data.” 2019. Doctoral Dissertation, University of Kentucky. Accessed November 13, 2019. https://uknowledge.uky.edu/cs_etds/85.

MLA Handbook (7th Edition):

Abar, Orhan. “Rule Mining and Sequential Pattern Based Predictive Modeling with EMR Data.” 2019. Web. 13 Nov 2019.

Vancouver:

Abar O. Rule Mining and Sequential Pattern Based Predictive Modeling with EMR Data. [Internet] [Doctoral dissertation]. University of Kentucky; 2019. [cited 2019 Nov 13]. Available from: https://uknowledge.uky.edu/cs_etds/85.

Council of Science Editors:

Abar O. Rule Mining and Sequential Pattern Based Predictive Modeling with EMR Data. [Doctoral Dissertation]. University of Kentucky; 2019. Available from: https://uknowledge.uky.edu/cs_etds/85


Queensland University of Technology

13. Yang, Wanzhong. Granule-based knowledge representation for intra and inter transaction association mining.

Degree: 2009, Queensland University of Technology

 Abstract With the phenomenal growth of electronic data and information, there are many demands for the development of efficient and effective systems (tools) to perform… (more)

Subjects/Keywords: knowledge discovery; knowledge representation; intratransaction association rule; intertransaction association rule; granule mining; multi-tier; association mapping

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, W. (2009). Granule-based knowledge representation for intra and inter transaction association mining. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/30398/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Wanzhong. “Granule-based knowledge representation for intra and inter transaction association mining.” 2009. Thesis, Queensland University of Technology. Accessed November 13, 2019. https://eprints.qut.edu.au/30398/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Wanzhong. “Granule-based knowledge representation for intra and inter transaction association mining.” 2009. Web. 13 Nov 2019.

Vancouver:

Yang W. Granule-based knowledge representation for intra and inter transaction association mining. [Internet] [Thesis]. Queensland University of Technology; 2009. [cited 2019 Nov 13]. Available from: https://eprints.qut.edu.au/30398/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang W. Granule-based knowledge representation for intra and inter transaction association mining. [Thesis]. Queensland University of Technology; 2009. Available from: https://eprints.qut.edu.au/30398/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Sengupta, Dipankar. Translational and High End Computing of Clinical Data in India;.

Degree: 2014, Jaypee University of Information Technology, Solan

Healthcare sector is generating large amount of data pertaining to diagnosis, disease identification and treatment of an individual. Mining knowledge and providing scientific decision-making for… (more)

Subjects/Keywords: Apriori Algorithm; Association Rule Mining; Beck Depression Inventory (BDI); Clinical Informatics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sengupta, D. (2014). Translational and High End Computing of Clinical Data in India;. (Thesis). Jaypee University of Information Technology, Solan. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/18011

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sengupta, Dipankar. “Translational and High End Computing of Clinical Data in India;.” 2014. Thesis, Jaypee University of Information Technology, Solan. Accessed November 13, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/18011.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sengupta, Dipankar. “Translational and High End Computing of Clinical Data in India;.” 2014. Web. 13 Nov 2019.

Vancouver:

Sengupta D. Translational and High End Computing of Clinical Data in India;. [Internet] [Thesis]. Jaypee University of Information Technology, Solan; 2014. [cited 2019 Nov 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/18011.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sengupta D. Translational and High End Computing of Clinical Data in India;. [Thesis]. Jaypee University of Information Technology, Solan; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/18011

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

15. Umarani V. On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;.

Degree: Computer Science, 2013, Anna University

Association rule mining is the most important and well investigated data newlinemining technique used by an organizations decision makers to improve the newlineoverall profit It… (more)

Subjects/Keywords: Algorithms; Association Rule; data mining; scalability; Transaction Databases

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

V, U. (2013). On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24357

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

V, Umarani. “On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;.” 2013. Thesis, Anna University. Accessed November 13, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/24357.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

V, Umarani. “On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;.” 2013. Web. 13 Nov 2019.

Vancouver:

V U. On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Nov 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24357.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

V U. On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24357

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Addis Ababa University

16. Helen, Tefera Kidane. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .

Degree: 2012, Addis Ababa University

 Knowledge and understanding of a problem is always the first step in identifying effective solutions. Child labor is both a sign and cause of poverty… (more)

Subjects/Keywords: Data mining; apriori algorithm; association rule; knowledge discovery

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Helen, T. K. (2012). APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/2811

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Helen, Tefera Kidane. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2012. Thesis, Addis Ababa University. Accessed November 13, 2019. http://etd.aau.edu.et/dspace/handle/123456789/2811.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Helen, Tefera Kidane. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2012. Web. 13 Nov 2019.

Vancouver:

Helen TK. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Internet] [Thesis]. Addis Ababa University; 2012. [cited 2019 Nov 13]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2811.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Helen TK. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Thesis]. Addis Ababa University; 2012. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2811

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Addis Ababa University

17. Tefera, Helen. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .

Degree: 2008, Addis Ababa University

 Knowledge and understanding of a problem is always the first step in identifying effective solutions. Child labor is both a sign and cause of poverty… (more)

Subjects/Keywords: Data mining; knowledge discovery; association rule; apriori algorithm

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tefera, H. (2008). APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/2819

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tefera, Helen. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2008. Thesis, Addis Ababa University. Accessed November 13, 2019. http://etd.aau.edu.et/dspace/handle/123456789/2819.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tefera, Helen. “APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA .” 2008. Web. 13 Nov 2019.

Vancouver:

Tefera H. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2019 Nov 13]. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2819.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tefera H. APPLICATION OF DATA MINING TECHNOLOGY TO IDENTIFY SIGNIFICANT PATTERNS IN CENSUS OR SURVEY DATA: THE CASE OF 2001 CHILD LABOR SURVEY IN ETHIOPIA . [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/2819

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Nairobi

18. Ronoh, Laban K. Use of GIS and association rule mining in guiding strategic business expansion planning:case study Chase Bank (K) Ltd .

Degree: 2009, University of Nairobi

 In recent years, optimal site selection has become one of the main concerns for managers of business enterprises. In addition, various kinds of spatial and… (more)

Subjects/Keywords: Geographic Information Systems,; Data Mining,; Trade Area,; Spatial Association Rule; Efficiency.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ronoh, L. K. (2009). Use of GIS and association rule mining in guiding strategic business expansion planning:case study Chase Bank (K) Ltd . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ronoh, Laban K. “Use of GIS and association rule mining in guiding strategic business expansion planning:case study Chase Bank (K) Ltd .” 2009. Thesis, University of Nairobi. Accessed November 13, 2019. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ronoh, Laban K. “Use of GIS and association rule mining in guiding strategic business expansion planning:case study Chase Bank (K) Ltd .” 2009. Web. 13 Nov 2019.

Vancouver:

Ronoh LK. Use of GIS and association rule mining in guiding strategic business expansion planning:case study Chase Bank (K) Ltd . [Internet] [Thesis]. University of Nairobi; 2009. [cited 2019 Nov 13]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14934.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ronoh LK. Use of GIS and association rule mining in guiding strategic business expansion planning:case study Chase Bank (K) Ltd . [Thesis]. University of Nairobi; 2009. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14934

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


De Montfort University

19. Abdelhamid, Neda. Deriving classifiers with single and multi-label rules using new Associative Classification methods.

Degree: PhD, 2013, De Montfort University

 Associative Classification (AC) in data mining is a rule based approach that uses association rule techniques to construct accurate classification systems (classifiers). The majority of… (more)

Subjects/Keywords: 600; Class association rule; Classification; data mining; Phishing detection; Pattern recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Abdelhamid, N. (2013). Deriving classifiers with single and multi-label rules using new Associative Classification methods. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/10120

Chicago Manual of Style (16th Edition):

Abdelhamid, Neda. “Deriving classifiers with single and multi-label rules using new Associative Classification methods.” 2013. Doctoral Dissertation, De Montfort University. Accessed November 13, 2019. http://hdl.handle.net/2086/10120.

MLA Handbook (7th Edition):

Abdelhamid, Neda. “Deriving classifiers with single and multi-label rules using new Associative Classification methods.” 2013. Web. 13 Nov 2019.

Vancouver:

Abdelhamid N. Deriving classifiers with single and multi-label rules using new Associative Classification methods. [Internet] [Doctoral dissertation]. De Montfort University; 2013. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2086/10120.

Council of Science Editors:

Abdelhamid N. Deriving classifiers with single and multi-label rules using new Associative Classification methods. [Doctoral Dissertation]. De Montfort University; 2013. Available from: http://hdl.handle.net/2086/10120

20. Richardson, Jeff Cillian, 1987-. Applying Association Rules to Optimize Enterprise Software Development.

Degree: Department of Mathematical Sciences, 2014, Central Connecticut State University

Background: For most software companies, development consumes a substantial portion of their resources. As the volume of products offered increases, costs rise dramatically. For large… (more)

Subjects/Keywords: Association rule mining.

rule generation, CARMA – Continuous Association Rule Mining Algorithm. The authors focused… …counting, Continuous Association Rule Mining Algorithm (CARMA) introduces several… …standard for many problems of this nature. Association rule models are able to, and even excel at… …Overview of Related Research Mining Association rules between sets of items in large databases… …iteration of the association rule generation algorithm. The method involved an exhaustive search… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Richardson, Jeff Cillian, 1. (2014). Applying Association Rules to Optimize Enterprise Software Development. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2032

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Richardson, Jeff Cillian, 1987-. “Applying Association Rules to Optimize Enterprise Software Development.” 2014. Thesis, Central Connecticut State University. Accessed November 13, 2019. http://content.library.ccsu.edu/u?/ccsutheses,2032.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Richardson, Jeff Cillian, 1987-. “Applying Association Rules to Optimize Enterprise Software Development.” 2014. Web. 13 Nov 2019.

Vancouver:

Richardson, Jeff Cillian 1. Applying Association Rules to Optimize Enterprise Software Development. [Internet] [Thesis]. Central Connecticut State University; 2014. [cited 2019 Nov 13]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2032.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Richardson, Jeff Cillian 1. Applying Association Rules to Optimize Enterprise Software Development. [Thesis]. Central Connecticut State University; 2014. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2032

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kansas State University

21. Aljandal, Waleed A. Itemset size-sensitive interestingness measures for association rule mining and link prediction.

Degree: PhD, Department of Computing and Information Sciences, 2009, Kansas State University

Association rule learning is a data mining technique that can capture relationships between pairs of entities in different domains. The goal of this research is… (more)

Subjects/Keywords: Data Mining; Association Rule; Interestingness Measures; Link Prediction; Computer Science (0984)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aljandal, W. A. (2009). Itemset size-sensitive interestingness measures for association rule mining and link prediction. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/1245

Chicago Manual of Style (16th Edition):

Aljandal, Waleed A. “Itemset size-sensitive interestingness measures for association rule mining and link prediction.” 2009. Doctoral Dissertation, Kansas State University. Accessed November 13, 2019. http://hdl.handle.net/2097/1245.

MLA Handbook (7th Edition):

Aljandal, Waleed A. “Itemset size-sensitive interestingness measures for association rule mining and link prediction.” 2009. Web. 13 Nov 2019.

Vancouver:

Aljandal WA. Itemset size-sensitive interestingness measures for association rule mining and link prediction. [Internet] [Doctoral dissertation]. Kansas State University; 2009. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/2097/1245.

Council of Science Editors:

Aljandal WA. Itemset size-sensitive interestingness measures for association rule mining and link prediction. [Doctoral Dissertation]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/1245


North Carolina State University

22. Kim, Jihye. Mining of cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing.

Degree: PhD, Bioinformatics, 2009, North Carolina State University

 Alternative splicing (AS) is an important post-transcriptional mechanism that increases protein diversity and may affect mRNA stability and translaftion efficiency. Despite its importance, our knowledge… (more)

Subjects/Keywords: alternative splicing; cis-regulatory motifs; association rule mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kim, J. (2009). Mining of cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3709

Chicago Manual of Style (16th Edition):

Kim, Jihye. “Mining of cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing.” 2009. Doctoral Dissertation, North Carolina State University. Accessed November 13, 2019. http://www.lib.ncsu.edu/resolver/1840.16/3709.

MLA Handbook (7th Edition):

Kim, Jihye. “Mining of cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing.” 2009. Web. 13 Nov 2019.

Vancouver:

Kim J. Mining of cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Nov 13]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3709.

Council of Science Editors:

Kim J. Mining of cis-Regulatory Motifs Associated with Tissue-Specific Alternative Splicing. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3709


University of Cincinnati

23. Kao, Hung-An. Quality Prediction Modeling for Multistage Manufacturing using Classification and Association Rule Mining Techniques.

Degree: PhD, Engineering and Applied Science: Mechanical Engineering, 2018, University of Cincinnati

 For manufacturing enterprises, product quality is a key factor to assess production capability and increase their core competence. To reduce external failure cost, many research… (more)

Subjects/Keywords: Mechanical Engineering; quality prediction; multistage manufacturing system; association rule mining; classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kao, H. (2018). Quality Prediction Modeling for Multistage Manufacturing using Classification and Association Rule Mining Techniques. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535382878246765

Chicago Manual of Style (16th Edition):

Kao, Hung-An. “Quality Prediction Modeling for Multistage Manufacturing using Classification and Association Rule Mining Techniques.” 2018. Doctoral Dissertation, University of Cincinnati. Accessed November 13, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535382878246765.

MLA Handbook (7th Edition):

Kao, Hung-An. “Quality Prediction Modeling for Multistage Manufacturing using Classification and Association Rule Mining Techniques.” 2018. Web. 13 Nov 2019.

Vancouver:

Kao H. Quality Prediction Modeling for Multistage Manufacturing using Classification and Association Rule Mining Techniques. [Internet] [Doctoral dissertation]. University of Cincinnati; 2018. [cited 2019 Nov 13]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535382878246765.

Council of Science Editors:

Kao H. Quality Prediction Modeling for Multistage Manufacturing using Classification and Association Rule Mining Techniques. [Doctoral Dissertation]. University of Cincinnati; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535382878246765


University of Miami

24. Wickramaratna, Kasun J. S. DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data.

Degree: PhD, Electrical and Computer Engineering (Engineering), 2010, University of Miami

  Over the past decades, many industries have heavily spent on computerizing their work environments with the intention to simplify and expedite access to information… (more)

Subjects/Keywords: Data Imperfections; DS-theory; Dempster Shafer Evidence Theory; Association Rule Mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wickramaratna, K. J. S. (2010). DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/159

Chicago Manual of Style (16th Edition):

Wickramaratna, Kasun J S. “DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data.” 2010. Doctoral Dissertation, University of Miami. Accessed November 13, 2019. https://scholarlyrepository.miami.edu/oa_dissertations/159.

MLA Handbook (7th Edition):

Wickramaratna, Kasun J S. “DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data.” 2010. Web. 13 Nov 2019.

Vancouver:

Wickramaratna KJS. DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data. [Internet] [Doctoral dissertation]. University of Miami; 2010. [cited 2019 Nov 13]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/159.

Council of Science Editors:

Wickramaratna KJS. DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data. [Doctoral Dissertation]. University of Miami; 2010. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/159


Louisiana State University

25. Donepudi, Harisha. Detection of Interesting Traffic Accident Patterns by Association Rule Mining.

Degree: MSCS, Computer Sciences, 2013, Louisiana State University

 In recent years, the accident rate related to traffic is high. Analyzing the crash data and extracting useful information from it can help in taking… (more)

Subjects/Keywords: frequent item sets; mostly associated patterns; interesting patterns; association rules; association rule mining

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Donepudi, H. (2013). Detection of Interesting Traffic Accident Patterns by Association Rule Mining. (Masters Thesis). Louisiana State University. Retrieved from etd-07012013-160705 ; https://digitalcommons.lsu.edu/gradschool_theses/2585

Chicago Manual of Style (16th Edition):

Donepudi, Harisha. “Detection of Interesting Traffic Accident Patterns by Association Rule Mining.” 2013. Masters Thesis, Louisiana State University. Accessed November 13, 2019. etd-07012013-160705 ; https://digitalcommons.lsu.edu/gradschool_theses/2585.

MLA Handbook (7th Edition):

Donepudi, Harisha. “Detection of Interesting Traffic Accident Patterns by Association Rule Mining.” 2013. Web. 13 Nov 2019.

Vancouver:

Donepudi H. Detection of Interesting Traffic Accident Patterns by Association Rule Mining. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2019 Nov 13]. Available from: etd-07012013-160705 ; https://digitalcommons.lsu.edu/gradschool_theses/2585.

Council of Science Editors:

Donepudi H. Detection of Interesting Traffic Accident Patterns by Association Rule Mining. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-07012013-160705 ; https://digitalcommons.lsu.edu/gradschool_theses/2585


University of Victoria

26. Pinheiro, Fabiola M. R. Applying the Apriori and FP-Growth Association Algorithms to Liver Cancer Data.

Degree: School of Health Information Science, 2013, University of Victoria

 Cancer is the leading cause of deaths globally. Although liver cancer ranks only fourth in incidence worldwide among all types of cancer, its survivability rate… (more)

Subjects/Keywords: liver; cancer; association analysis; association rule; apriori; fp-growth; data mining; British Columbia; Yukon

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pinheiro, F. M. R. (2013). Applying the Apriori and FP-Growth Association Algorithms to Liver Cancer Data. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/4846

Chicago Manual of Style (16th Edition):

Pinheiro, Fabiola M R. “Applying the Apriori and FP-Growth Association Algorithms to Liver Cancer Data.” 2013. Masters Thesis, University of Victoria. Accessed November 13, 2019. http://hdl.handle.net/1828/4846.

MLA Handbook (7th Edition):

Pinheiro, Fabiola M R. “Applying the Apriori and FP-Growth Association Algorithms to Liver Cancer Data.” 2013. Web. 13 Nov 2019.

Vancouver:

Pinheiro FMR. Applying the Apriori and FP-Growth Association Algorithms to Liver Cancer Data. [Internet] [Masters thesis]. University of Victoria; 2013. [cited 2019 Nov 13]. Available from: http://hdl.handle.net/1828/4846.

Council of Science Editors:

Pinheiro FMR. Applying the Apriori and FP-Growth Association Algorithms to Liver Cancer Data. [Masters Thesis]. University of Victoria; 2013. Available from: http://hdl.handle.net/1828/4846


KTH

27. Thun, Julia. Automating debugging through data mining.

Degree: Computer and Electronic Engineering, 2017, KTH

Contemporary technological systems generate massive quantities of log messages. These messages can be stored, searched and visualized efficiently using log management and analysis tools.… (more)

Subjects/Keywords: Association rule mining; Machine learning; Classification algorithms; Supervised learning; Text mining; Log management and analysis tools; Association rule mining; Maskininlärning; Classification algorithms; Supervised learning; Text mining; Logghanteringsverktyg; Software Engineering; Programvaruteknik

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Thun, J. (2017). Automating debugging through data mining. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-203244

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thun, Julia. “Automating debugging through data mining.” 2017. Thesis, KTH. Accessed November 13, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-203244.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thun, Julia. “Automating debugging through data mining.” 2017. Web. 13 Nov 2019.

Vancouver:

Thun J. Automating debugging through data mining. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-203244.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thun J. Automating debugging through data mining. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-203244

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Mississippi State University

28. Saha, Surya. PROXIMITY BASED ASSOCIATION RULES FOR SPATIAL DATA MINING IN GENOMES.

Degree: PhD, Computer Science and Engineering, 2009, Mississippi State University

 Our knowledge discovery algorithm employs a combination of association rule mining and graph mining to identify frequent spatial proximity relationships in genomic data where the… (more)

Subjects/Keywords: association rule mining; spatial rules; repeat; defragmentation; graph mining; association rule mining; spatial rules; repeat; defragmentation; graph mining; novel repeat regions; DNA

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Saha, S. (2009). PROXIMITY BASED ASSOCIATION RULES FOR SPATIAL DATA MINING IN GENOMES. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012009-104850/ ;

Chicago Manual of Style (16th Edition):

Saha, Surya. “PROXIMITY BASED ASSOCIATION RULES FOR SPATIAL DATA MINING IN GENOMES.” 2009. Doctoral Dissertation, Mississippi State University. Accessed November 13, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012009-104850/ ;.

MLA Handbook (7th Edition):

Saha, Surya. “PROXIMITY BASED ASSOCIATION RULES FOR SPATIAL DATA MINING IN GENOMES.” 2009. Web. 13 Nov 2019.

Vancouver:

Saha S. PROXIMITY BASED ASSOCIATION RULES FOR SPATIAL DATA MINING IN GENOMES. [Internet] [Doctoral dissertation]. Mississippi State University; 2009. [cited 2019 Nov 13]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012009-104850/ ;.

Council of Science Editors:

Saha S. PROXIMITY BASED ASSOCIATION RULES FOR SPATIAL DATA MINING IN GENOMES. [Doctoral Dissertation]. Mississippi State University; 2009. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07012009-104850/ ;


Anna University

29. Nandagopal, S. Adept strategy for mining of association rules from inter transactional domains; -.

Degree: Information and Communication Engineering, 2014, Anna University

The world revolves around the information stored by various users in different environments Data can be of different forms such as informative sequence notification of… (more)

Subjects/Keywords: Categorized and Bounded Inter- Transaction; Crumb Based Association Rule Mining; Information and communication engineering; Inter-transaction Association Rule; Modified Apriori Algorithm

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nandagopal, S. (2014). Adept strategy for mining of association rules from inter transactional domains; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/23889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nandagopal, S. “Adept strategy for mining of association rules from inter transactional domains; -.” 2014. Thesis, Anna University. Accessed November 13, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/23889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nandagopal, S. “Adept strategy for mining of association rules from inter transactional domains; -.” 2014. Web. 13 Nov 2019.

Vancouver:

Nandagopal S. Adept strategy for mining of association rules from inter transactional domains; -. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Nov 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nandagopal S. Adept strategy for mining of association rules from inter transactional domains; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/23889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

30. Li, Yu. Genetic-Fuzzy Mining with Type-2 Membership Functions.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

Association rule mining is commonly utilized to extract useful information from given data. Since items are usually with quantities in real-world transaction databases, the fuzzy… (more)

Subjects/Keywords: genetic-fuzzy mining; association rule; data mining; type-2 fuzzy set; membership function

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, Y. (2015). Genetic-Fuzzy Mining with Type-2 Membership Functions. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Yu. “Genetic-Fuzzy Mining with Type-2 Membership Functions.” 2015. Thesis, NSYSU. Accessed November 13, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Yu. “Genetic-Fuzzy Mining with Type-2 Membership Functions.” 2015. Web. 13 Nov 2019.

Vancouver:

Li Y. Genetic-Fuzzy Mining with Type-2 Membership Functions. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Nov 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Y. Genetic-Fuzzy Mining with Type-2 Membership Functions. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0705115-170321

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

[1] [2] [3] [4]

.