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You searched for subject:( Data Association). Showing records 1 – 30 of 290 total matches.

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University of Newcastle

1. Tran, Duy Tung. The aggregate association index and its extension for the analysis of multiple 2x2 contingency tables.

Degree: PhD, 2019, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Data aggregation often occurs due to data collection methods or confidentiality laws imposed by government and institutional organisations.… (more)

Subjects/Keywords: aggregate association index; data aggregation; contingency tables; aggregate association index curves

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

APA (6th Edition):

Tran, D. T. (2019). The aggregate association index and its extension for the analysis of multiple 2x2 contingency tables. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1397754

Chicago Manual of Style (16th Edition):

Tran, Duy Tung. “The aggregate association index and its extension for the analysis of multiple 2x2 contingency tables.” 2019. Doctoral Dissertation, University of Newcastle. Accessed November 29, 2020. http://hdl.handle.net/1959.13/1397754.

MLA Handbook (7th Edition):

Tran, Duy Tung. “The aggregate association index and its extension for the analysis of multiple 2x2 contingency tables.” 2019. Web. 29 Nov 2020.

Vancouver:

Tran DT. The aggregate association index and its extension for the analysis of multiple 2x2 contingency tables. [Internet] [Doctoral dissertation]. University of Newcastle; 2019. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1959.13/1397754.

Council of Science Editors:

Tran DT. The aggregate association index and its extension for the analysis of multiple 2x2 contingency tables. [Doctoral Dissertation]. University of Newcastle; 2019. Available from: http://hdl.handle.net/1959.13/1397754


Penn State University

2. Vaidya, Gaurav Vijaykumar. Data association using view-based models.

Degree: 2009, Penn State University

 The problem of video tracking has been widely researched in the Computer Vision community. Identifying a target and keeping continuous track of it requires robust… (more)

Subjects/Keywords: data association; SIFT

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APA (6th Edition):

Vaidya, G. V. (2009). Data association using view-based models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/9087

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):

Vaidya, Gaurav Vijaykumar. “Data association using view-based models.” 2009. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/9087.

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

MLA Handbook (7th Edition):

Vaidya, Gaurav Vijaykumar. “Data association using view-based models.” 2009. Web. 29 Nov 2020.

Vancouver:

Vaidya GV. Data association using view-based models. [Internet] [Thesis]. Penn State University; 2009. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/9087.

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

Council of Science Editors:

Vaidya GV. Data association using view-based models. [Thesis]. Penn State University; 2009. Available from: https://submit-etda.libraries.psu.edu/catalog/9087

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


Penn State University

3. Zhao, Hanqing. SUPPORTING THE UNDERSTANDING OF ASSOCIATION RULE WITH VISUALIZATION.

Degree: 2017, Penn State University

 Integrating advanced data-processing algorithms into visual analytic systems allows analysts to gain more insight into data and to make better decisions. However, such integration also… (more)

Subjects/Keywords: data mining; visualization; association rule mining

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APA (6th Edition):

Zhao, H. (2017). SUPPORTING THE UNDERSTANDING OF ASSOCIATION RULE WITH VISUALIZATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13851hpz5045

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):

Zhao, Hanqing. “SUPPORTING THE UNDERSTANDING OF ASSOCIATION RULE WITH VISUALIZATION.” 2017. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/13851hpz5045.

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

MLA Handbook (7th Edition):

Zhao, Hanqing. “SUPPORTING THE UNDERSTANDING OF ASSOCIATION RULE WITH VISUALIZATION.” 2017. Web. 29 Nov 2020.

Vancouver:

Zhao H. SUPPORTING THE UNDERSTANDING OF ASSOCIATION RULE WITH VISUALIZATION. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/13851hpz5045.

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

Council of Science Editors:

Zhao H. SUPPORTING THE UNDERSTANDING OF ASSOCIATION RULE WITH VISUALIZATION. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13851hpz5045

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


AUT University

4. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

Vithal Kadam O. Novel applications of Association Rule Mining- Data Stream Mining . [Internet] [Thesis]. AUT University; 2010. [cited 2020 Nov 29]. 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


Central Connecticut State University

5. Hickey, Philip D. (Philip Daniel), 1974-. Identifying the attributes that contribute to success in the PGA Tour's FedEx Cup using ShotLink® Data.

Degree: Department of Mathematical Sciences, 2016, Central Connecticut State University

This thesis analyzes the shots taken by 1,875 professional golfers on the PGA tour from 2007 to 2014 to determine the attributes of the golf… (more)

Subjects/Keywords: PGA Tour (Association); Golf.; Data mining.

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APA (6th Edition):

Hickey, Philip D. (Philip Daniel), 1. (2016). Identifying the attributes that contribute to success in the PGA Tour's FedEx Cup using ShotLink® Data. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2300

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):

Hickey, Philip D. (Philip Daniel), 1974-. “Identifying the attributes that contribute to success in the PGA Tour's FedEx Cup using ShotLink® Data.” 2016. Thesis, Central Connecticut State University. Accessed November 29, 2020. http://content.library.ccsu.edu/u?/ccsutheses,2300.

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

MLA Handbook (7th Edition):

Hickey, Philip D. (Philip Daniel), 1974-. “Identifying the attributes that contribute to success in the PGA Tour's FedEx Cup using ShotLink® Data.” 2016. Web. 29 Nov 2020.

Vancouver:

Hickey, Philip D. (Philip Daniel) 1. Identifying the attributes that contribute to success in the PGA Tour's FedEx Cup using ShotLink® Data. [Internet] [Thesis]. Central Connecticut State University; 2016. [cited 2020 Nov 29]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2300.

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

Council of Science Editors:

Hickey, Philip D. (Philip Daniel) 1. Identifying the attributes that contribute to success in the PGA Tour's FedEx Cup using ShotLink® Data. [Thesis]. Central Connecticut State University; 2016. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2300

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


University of New South Wales

6. Ballouz, Sara. A computational approach to understanding the molecular mechanisms of complex disease.

Degree: Computer Science & Engineering, 2012, University of New South Wales

 With the discovery that sickle cell anaemia is the result of a structurally altered haemoglobin protein in the 1940s, it was established that genetic variation… (more)

Subjects/Keywords: Data mining; Genome-wide association studies

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

APA (6th Edition):

Ballouz, S. (2012). A computational approach to understanding the molecular mechanisms of complex disease. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52376 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11049/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Ballouz, Sara. “A computational approach to understanding the molecular mechanisms of complex disease.” 2012. Doctoral Dissertation, University of New South Wales. Accessed November 29, 2020. http://handle.unsw.edu.au/1959.4/52376 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11049/SOURCE01?view=true.

MLA Handbook (7th Edition):

Ballouz, Sara. “A computational approach to understanding the molecular mechanisms of complex disease.” 2012. Web. 29 Nov 2020.

Vancouver:

Ballouz S. A computational approach to understanding the molecular mechanisms of complex disease. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2020 Nov 29]. Available from: http://handle.unsw.edu.au/1959.4/52376 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11049/SOURCE01?view=true.

Council of Science Editors:

Ballouz S. A computational approach to understanding the molecular mechanisms of complex disease. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52376 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11049/SOURCE01?view=true


Curtin University of Technology

7. Mohd Shaharanee, Izwan Nizal. Quality and interestingness of association rules derived from data mining of relational and semi-structured data .

Degree: 2012, Curtin University of Technology

 Deriving useful and interesting rules from a data mining system are essential and important tasks. Problems such as the discovery of random and coincidental patterns… (more)

Subjects/Keywords: data mining; relational data; semi-structured data; interestingness; quality; association rules

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APA (6th Edition):

Mohd Shaharanee, I. N. (2012). Quality and interestingness of association rules derived from data mining of relational and semi-structured data . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/1643

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):

Mohd Shaharanee, Izwan Nizal. “Quality and interestingness of association rules derived from data mining of relational and semi-structured data .” 2012. Thesis, Curtin University of Technology. Accessed November 29, 2020. http://hdl.handle.net/20.500.11937/1643.

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

MLA Handbook (7th Edition):

Mohd Shaharanee, Izwan Nizal. “Quality and interestingness of association rules derived from data mining of relational and semi-structured data .” 2012. Web. 29 Nov 2020.

Vancouver:

Mohd Shaharanee IN. Quality and interestingness of association rules derived from data mining of relational and semi-structured data . [Internet] [Thesis]. Curtin University of Technology; 2012. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/20.500.11937/1643.

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

Council of Science Editors:

Mohd Shaharanee IN. Quality and interestingness of association rules derived from data mining of relational and semi-structured data . [Thesis]. Curtin University of Technology; 2012. Available from: http://hdl.handle.net/20.500.11937/1643

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


University of Guelph

8. Shaikh, Mateen. Topics in Association Rules.

Degree: PhD, Department of Mathematics and Statistics, 2013, University of Guelph

Association rules are a useful concept in data mining with the goal of summa- rizing the strong patterns that exist in data. We have identified… (more)

Subjects/Keywords: Association Rules; Data Mining; Statistics; Missing Data; Hierarchies; Clustering

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APA (6th Edition):

Shaikh, M. (2013). Topics in Association Rules. (Doctoral Dissertation). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7250

Chicago Manual of Style (16th Edition):

Shaikh, Mateen. “Topics in Association Rules.” 2013. Doctoral Dissertation, University of Guelph. Accessed November 29, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7250.

MLA Handbook (7th Edition):

Shaikh, Mateen. “Topics in Association Rules.” 2013. Web. 29 Nov 2020.

Vancouver:

Shaikh M. Topics in Association Rules. [Internet] [Doctoral dissertation]. University of Guelph; 2013. [cited 2020 Nov 29]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7250.

Council of Science Editors:

Shaikh M. Topics in Association Rules. [Doctoral Dissertation]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7250


NSYSU

9. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

Wang C. A Study of Multi-site On-shelf Data Mining. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Nov 29]. 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


NSYSU

10. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

Wu P. Temporal Data Mining with a Hierarchy of Time Granules. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Nov 29]. 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 Victoria

11. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

Pinheiro FMR. Applying the Apriori and FP-Growth Association Algorithms to Liver Cancer Data. [Internet] [Masters thesis]. University of Victoria; 2013. [cited 2020 Nov 29]. 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


Penn State University

12. Yip, Kelly. Mining Human Interaction Data.

Degree: 2015, Penn State University

 Generally, multivariate time series data are collected to answer many important questions in developmental psychology research. This project was inspired by a set mother-infant interaction… (more)

Subjects/Keywords: data mining; multivariate time series; categorical data; association rule; sequential pattern; interactive data; approximated pattern

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APA (6th Edition):

Yip, K. (2015). Mining Human Interaction Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25210

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):

Yip, Kelly. “Mining Human Interaction Data.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/25210.

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

MLA Handbook (7th Edition):

Yip, Kelly. “Mining Human Interaction Data.” 2015. Web. 29 Nov 2020.

Vancouver:

Yip K. Mining Human Interaction Data. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/25210.

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

Council of Science Editors:

Yip K. Mining Human Interaction Data. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25210

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


University of Lethbridge

13. University of Lethbridge. Faculty of Arts and Science. Characterizing and classifying music genres and subgenres via association analysis .

Degree: 2019, University of Lethbridge

 In this thesis, we investigate the problem of automatic music genre classification in the field of Music Information Retrieval (MIR). MIR seeks to apply convenient… (more)

Subjects/Keywords: Music Information Retrieval; Genre Classification; Association Analysis; Data Mining; Machine Learning; Music  – Data processing; Musical analysis  – Data processing; Popular music genres  – Data processing; Association rule mining; Information retrieval

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APA (6th Edition):

Science, U. o. L. F. o. A. a. (2019). Characterizing and classifying music genres and subgenres via association analysis . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/5438

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. “Characterizing and classifying music genres and subgenres via association analysis .” 2019. Thesis, University of Lethbridge. Accessed November 29, 2020. http://hdl.handle.net/10133/5438.

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. “Characterizing and classifying music genres and subgenres via association analysis .” 2019. Web. 29 Nov 2020.

Vancouver:

Science UoLFoAa. Characterizing and classifying music genres and subgenres via association analysis . [Internet] [Thesis]. University of Lethbridge; 2019. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10133/5438.

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. Characterizing and classifying music genres and subgenres via association analysis . [Thesis]. University of Lethbridge; 2019. Available from: http://hdl.handle.net/10133/5438

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


Queensland University of Technology

14. Samha, Amani Khalaf. Aspect-based opinion mining from customer reviews.

Degree: 2016, Queensland University of Technology

 This thesis is a step forward to developing a systemic solution to enhance the selling and buying decision-making from online customer reviews. The method used… (more)

Subjects/Keywords: Opinion Mining; Data Mining; Conditional Random Fields; Association Rules; Dependency Relations

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APA (6th Edition):

Samha, A. K. (2016). Aspect-based opinion mining from customer reviews. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/97562/

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):

Samha, Amani Khalaf. “Aspect-based opinion mining from customer reviews.” 2016. Thesis, Queensland University of Technology. Accessed November 29, 2020. http://eprints.qut.edu.au/97562/.

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

MLA Handbook (7th Edition):

Samha, Amani Khalaf. “Aspect-based opinion mining from customer reviews.” 2016. Web. 29 Nov 2020.

Vancouver:

Samha AK. Aspect-based opinion mining from customer reviews. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2020 Nov 29]. Available from: http://eprints.qut.edu.au/97562/.

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

Council of Science Editors:

Samha AK. Aspect-based opinion mining from customer reviews. [Thesis]. Queensland University of Technology; 2016. Available from: http://eprints.qut.edu.au/97562/

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


NSYSU

15. Peng, Wei-hau. An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams.

Degree: Master, Computer Science and Engineering, 2009, NSYSU

 Online mining association rules over data streams is an important issue in the area of data mining, where an association rule means that the presence… (more)

Subjects/Keywords: frequent itemset; closed frequent itemset; Data Streams; Association Rules

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

APA (6th Edition):

Peng, W. (2009). An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302

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):

Peng, Wei-hau. “An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams.” 2009. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302.

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

MLA Handbook (7th Edition):

Peng, Wei-hau. “An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams.” 2009. Web. 29 Nov 2020.

Vancouver:

Peng W. An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302.

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

Council of Science Editors:

Peng W. An Efficient Subset-Lattice Algorithm for Mining Closed Frequent Itemsets in Data Streams. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0625109-204302

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


NSYSU

16. Lin, Yui-Kai. Efficient Mining Approaches for Coherent Association Rules.

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

 The goal of data mining is to help market managers find relationships among items from large datasets to increase profits. Among the mining techniques, the… (more)

Subjects/Keywords: projection; coherent rules; propositional logic; association rules; data mining

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

APA (6th Edition):

Lin, Y. (2012). Efficient Mining Approaches for Coherent Association Rules. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-165931

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):

Lin, Yui-Kai. “Efficient Mining Approaches for Coherent Association Rules.” 2012. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-165931.

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

MLA Handbook (7th Edition):

Lin, Yui-Kai. “Efficient Mining Approaches for Coherent Association Rules.” 2012. Web. 29 Nov 2020.

Vancouver:

Lin Y. Efficient Mining Approaches for Coherent Association Rules. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-165931.

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

Council of Science Editors:

Lin Y. Efficient Mining Approaches for Coherent Association Rules. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-165931

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


Anna University

17. Bhanu D. Performance analysis of a rule based Mining framework in predicting Retail sales;.

Degree: Performance analysis of a rule based Mining framework in predicting Retail sales, 2014, Anna University

newlineData Mining is the process of extracting interesting and previously newlineunknown patterns and correlations from data stored in huge data repositories newlineAssociation Rule Mining a… (more)

Subjects/Keywords: Coalescent Dataset; Data Mining; Group based Mining of Association Rules

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

APA (6th Edition):

D, B. (2014). Performance analysis of a rule based Mining framework in predicting Retail sales;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27768

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):

D, Bhanu. “Performance analysis of a rule based Mining framework in predicting Retail sales;.” 2014. Thesis, Anna University. Accessed November 29, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/27768.

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

MLA Handbook (7th Edition):

D, Bhanu. “Performance analysis of a rule based Mining framework in predicting Retail sales;.” 2014. Web. 29 Nov 2020.

Vancouver:

D B. Performance analysis of a rule based Mining framework in predicting Retail sales;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Nov 29]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27768.

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

Council of Science Editors:

D B. Performance analysis of a rule based Mining framework in predicting Retail sales;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27768

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


San Jose State University

18. Jia, Dongyi. Association Rule Mining  – Geometry and Parallel Computing Approach.

Degree: MS, Computer Science, 2011, San Jose State University

  Mining association rules is a very important aspect in data mining fields. The process to mine association rules not only take much time, but… (more)

Subjects/Keywords: Data mining association rules bitmaps; Databases and Information Systems

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

APA (6th Edition):

Jia, D. (2011). Association Rule Mining  – Geometry and Parallel Computing Approach. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.stmg-pfp3 ; https://scholarworks.sjsu.edu/etd_projects/174

Chicago Manual of Style (16th Edition):

Jia, Dongyi. “Association Rule Mining  – Geometry and Parallel Computing Approach.” 2011. Masters Thesis, San Jose State University. Accessed November 29, 2020. https://doi.org/10.31979/etd.stmg-pfp3 ; https://scholarworks.sjsu.edu/etd_projects/174.

MLA Handbook (7th Edition):

Jia, Dongyi. “Association Rule Mining  – Geometry and Parallel Computing Approach.” 2011. Web. 29 Nov 2020.

Vancouver:

Jia D. Association Rule Mining  – Geometry and Parallel Computing Approach. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2020 Nov 29]. Available from: https://doi.org/10.31979/etd.stmg-pfp3 ; https://scholarworks.sjsu.edu/etd_projects/174.

Council of Science Editors:

Jia D. Association Rule Mining  – Geometry and Parallel Computing Approach. [Masters Thesis]. San Jose State University; 2011. Available from: https://doi.org/10.31979/etd.stmg-pfp3 ; https://scholarworks.sjsu.edu/etd_projects/174

19. Assunção, Alinson Sousa de. Descoberta direta e eficiente de regras de associação ótimas.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2011, University of São Paulo

Um dos principais interesses na descoberta do conhecimento e mineração de dados é a indução de regras de associação. Regras de associação caracterizam as relações… (more)

Subjects/Keywords: Association rules; Data mining; Mineração de dados; Regras de associação

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

APA (6th Edition):

Assunção, A. S. d. (2011). Descoberta direta e eficiente de regras de associação ótimas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-29032012-090714/ ;

Chicago Manual of Style (16th Edition):

Assunção, Alinson Sousa de. “Descoberta direta e eficiente de regras de associação ótimas.” 2011. Masters Thesis, University of São Paulo. Accessed November 29, 2020. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-29032012-090714/ ;.

MLA Handbook (7th Edition):

Assunção, Alinson Sousa de. “Descoberta direta e eficiente de regras de associação ótimas.” 2011. Web. 29 Nov 2020.

Vancouver:

Assunção ASd. Descoberta direta e eficiente de regras de associação ótimas. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2020 Nov 29]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-29032012-090714/ ;.

Council of Science Editors:

Assunção ASd. Descoberta direta e eficiente de regras de associação ótimas. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-29032012-090714/ ;


Durban University of Technology

20. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

Singh P. Validating cohesion metrics by mining open source software data with association rules. [Internet] [Thesis]. Durban University of Technology; 2008. [cited 2020 Nov 29]. 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


Georgia Tech

21. Griffith, Shane David. Map-centric visual data association across seasons in a natural environment.

Degree: PhD, Interactive Computing, 2019, Georgia Tech

 Vision is one of the primary sensory modalities of animals and robots, yet among robots it still has limited power in natural environments. Dynamic processes… (more)

Subjects/Keywords: Visual surveys; Visual data association; SLAM; Multi-session SLAM; Dense correspondence

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

APA (6th Edition):

Griffith, S. D. (2019). Map-centric visual data association across seasons in a natural environment. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62305

Chicago Manual of Style (16th Edition):

Griffith, Shane David. “Map-centric visual data association across seasons in a natural environment.” 2019. Doctoral Dissertation, Georgia Tech. Accessed November 29, 2020. http://hdl.handle.net/1853/62305.

MLA Handbook (7th Edition):

Griffith, Shane David. “Map-centric visual data association across seasons in a natural environment.” 2019. Web. 29 Nov 2020.

Vancouver:

Griffith SD. Map-centric visual data association across seasons in a natural environment. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/1853/62305.

Council of Science Editors:

Griffith SD. Map-centric visual data association across seasons in a natural environment. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62305


Anna University

22. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

S KC. An investigation on automatic support thresholds for association rule mining. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Nov 29]. 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


Anna University

23. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

V U. On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Nov 29]. 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

24. 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

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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 29, 2020. 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. 29 Nov 2020.

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 2020 Nov 29]. 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

25. 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

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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 29, 2020. 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. 29 Nov 2020.

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 2020 Nov 29]. 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

26. 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.

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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 29, 2020. 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. 29 Nov 2020.

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 2020 Nov 29]. 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


NSYSU

27. Hsu, Chia-Yu. A Study of Applying Transaction Data on the Category Management of Retailers - A Case of Company M.

Degree: Master, Business Management, 2018, NSYSU

 With the increasing popularity of e-commerce, the market is growing and spreading at a rate of 15% per year. The Retailing Industry is facing fierce… (more)

Subjects/Keywords: Association Rule; Category Management; Data; Retail; Market Basket Analysis

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

APA (6th Edition):

Hsu, C. (2018). A Study of Applying Transaction Data on the Category Management of Retailers - A Case of Company M. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0528118-161553

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):

Hsu, Chia-Yu. “A Study of Applying Transaction Data on the Category Management of Retailers - A Case of Company M.” 2018. Thesis, NSYSU. Accessed November 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0528118-161553.

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

MLA Handbook (7th Edition):

Hsu, Chia-Yu. “A Study of Applying Transaction Data on the Category Management of Retailers - A Case of Company M.” 2018. Web. 29 Nov 2020.

Vancouver:

Hsu C. A Study of Applying Transaction Data on the Category Management of Retailers - A Case of Company M. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Nov 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0528118-161553.

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

Council of Science Editors:

Hsu C. A Study of Applying Transaction Data on the Category Management of Retailers - A Case of Company M. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0528118-161553

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


Queensland University of Technology

28. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

Wu J. Interpretation of association rules with multi-tier granule mining. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2020 Nov 29]. 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


University of Illinois – Urbana-Champaign

29. Bartels, Louis Byron. Work optimization with association rule mining of negative effective deterioration in building components.

Degree: PhD, Civil Engineering, 2020, University of Illinois – Urbana-Champaign

 The objective of enterprise building infrastructure management is to provide optimal allocation of maintenance, rehabilitation and replacement (MR&R) resources and to preserve the condition of… (more)

Subjects/Keywords: facility; condition; assessment; association rule; data mining; inspection optimization

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

APA (6th Edition):

Bartels, L. B. (2020). Work optimization with association rule mining of negative effective deterioration in building components. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/107883

Chicago Manual of Style (16th Edition):

Bartels, Louis Byron. “Work optimization with association rule mining of negative effective deterioration in building components.” 2020. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed November 29, 2020. http://hdl.handle.net/2142/107883.

MLA Handbook (7th Edition):

Bartels, Louis Byron. “Work optimization with association rule mining of negative effective deterioration in building components.” 2020. Web. 29 Nov 2020.

Vancouver:

Bartels LB. Work optimization with association rule mining of negative effective deterioration in building components. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2020. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/2142/107883.

Council of Science Editors:

Bartels LB. Work optimization with association rule mining of negative effective deterioration in building components. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2020. Available from: http://hdl.handle.net/2142/107883


University of Miami

30. 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

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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 29, 2020. 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. 29 Nov 2020.

Vancouver:

Wickramaratna KJS. DS-ARM: An Association Rule Based Predictor that Can Learn from Imperfect Data. [Internet] [Doctoral dissertation]. University of Miami; 2010. [cited 2020 Nov 29]. 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

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