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You searched for subject:(Rough Set). Showing records 1 – 30 of 55 total matches.

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Laurentian University

1. Alenezi, Anwar. Finding patterns in student and medical office data using rough sets .

Degree: 2014, Laurentian University

 Data have been obtained from King Khaled General Hospital in Saudi Arabia. In this project, I am trying to discover patterns in these data by… (more)

Subjects/Keywords: Rough Set Graphic User Interface; Rough Set theory; health analytics; algorithm; predictive rules

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APA (6th Edition):

Alenezi, A. (2014). Finding patterns in student and medical office data using rough sets . (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/dspace/handle/10219/2263

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):

Alenezi, Anwar. “Finding patterns in student and medical office data using rough sets .” 2014. Thesis, Laurentian University. Accessed September 21, 2020. https://zone.biblio.laurentian.ca/dspace/handle/10219/2263.

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

MLA Handbook (7th Edition):

Alenezi, Anwar. “Finding patterns in student and medical office data using rough sets .” 2014. Web. 21 Sep 2020.

Vancouver:

Alenezi A. Finding patterns in student and medical office data using rough sets . [Internet] [Thesis]. Laurentian University; 2014. [cited 2020 Sep 21]. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2263.

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

Council of Science Editors:

Alenezi A. Finding patterns in student and medical office data using rough sets . [Thesis]. Laurentian University; 2014. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2263

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


Anna University

2. Shylaja B S. Studies in rough set theory based routing protocols for vehicular ad hoc networks on freeways;.

Degree: 2013, Anna University

Vehicular Ad hoc NETworks (VANETs) are self-organizing ad hoc networks that are specifically designed for communication among vehicles. VANETs are a special case of Mobile… (more)

Subjects/Keywords: Rough set theory; Vehicular Ad hoc NETworks; Mobile Ad hoc NETworks; Variable Precision Rough Sets

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APA (6th Edition):

S, S. B. (2013). Studies in rough set theory based routing protocols for vehicular ad hoc networks on freeways;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13657

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, Shylaja B. “Studies in rough set theory based routing protocols for vehicular ad hoc networks on freeways;.” 2013. Thesis, Anna University. Accessed September 21, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/13657.

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

MLA Handbook (7th Edition):

S, Shylaja B. “Studies in rough set theory based routing protocols for vehicular ad hoc networks on freeways;.” 2013. Web. 21 Sep 2020.

Vancouver:

S SB. Studies in rough set theory based routing protocols for vehicular ad hoc networks on freeways;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Sep 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13657.

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

Council of Science Editors:

S SB. Studies in rough set theory based routing protocols for vehicular ad hoc networks on freeways;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13657

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


Anna University

3. Sakaya milton R. Studies in multi relational extensions to rough set theory;.

Degree: Studies in multi relational extensions to rough set theory, 2014, Anna University

Current hardware and database technology allows efficient and inexpensive newlinestorage and access of vast amounts of data Data mining algorithms newlinesearch for patterns that may… (more)

Subjects/Keywords: information and communication engineering; multi relational extensions; rough set theory

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APA (6th Edition):

R, S. m. (2014). Studies in multi relational extensions to rough set theory;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/27643

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):

R, Sakaya milton. “Studies in multi relational extensions to rough set theory;.” 2014. Thesis, Anna University. Accessed September 21, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/27643.

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

MLA Handbook (7th Edition):

R, Sakaya milton. “Studies in multi relational extensions to rough set theory;.” 2014. Web. 21 Sep 2020.

Vancouver:

R Sm. Studies in multi relational extensions to rough set theory;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Sep 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27643.

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

Council of Science Editors:

R Sm. Studies in multi relational extensions to rough set theory;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/27643

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


Penn State University

4. Mushrif, Shreyas. INTUITIONISTIC FUZZY ROUGH SET BASED ALGORITHMS FOR MEDICAL IMAGE SEGMENTATION.

Degree: 2017, Penn State University

 Accurate segmentation of the magnetic resonance (MR) kidney images is very helpful for physiological study of kidney and the study of various kidney diseases. Segmentation… (more)

Subjects/Keywords: Intuitionistic Fuzzy Set; Rough Sets; Intensity Inhomogeneity; Restricted Equivalence Functions; Histon

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APA (6th Edition):

Mushrif, S. (2017). INTUITIONISTIC FUZZY ROUGH SET BASED ALGORITHMS FOR MEDICAL IMAGE SEGMENTATION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13832sxm5784

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):

Mushrif, Shreyas. “INTUITIONISTIC FUZZY ROUGH SET BASED ALGORITHMS FOR MEDICAL IMAGE SEGMENTATION.” 2017. Thesis, Penn State University. Accessed September 21, 2020. https://submit-etda.libraries.psu.edu/catalog/13832sxm5784.

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

MLA Handbook (7th Edition):

Mushrif, Shreyas. “INTUITIONISTIC FUZZY ROUGH SET BASED ALGORITHMS FOR MEDICAL IMAGE SEGMENTATION.” 2017. Web. 21 Sep 2020.

Vancouver:

Mushrif S. INTUITIONISTIC FUZZY ROUGH SET BASED ALGORITHMS FOR MEDICAL IMAGE SEGMENTATION. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Sep 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/13832sxm5784.

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

Council of Science Editors:

Mushrif S. INTUITIONISTIC FUZZY ROUGH SET BASED ALGORITHMS FOR MEDICAL IMAGE SEGMENTATION. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13832sxm5784

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


NSYSU

5. Yang, Chih-Chin. A Spam Filter Based on Reinforcement and Collaboration.

Degree: Master, Information Management, 2008, NSYSU

 Growing volume of spam mails have not only decreased the productivity of people but also become a security threat on the Internet. Mail servers should… (more)

Subjects/Keywords: Spam; Data Mining and Artificial Intelligence; Collaborative; Rough Set Theory

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APA (6th Edition):

Yang, C. (2008). A Spam Filter Based on Reinforcement and Collaboration. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951

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, Chih-Chin. “A Spam Filter Based on Reinforcement and Collaboration.” 2008. Thesis, NSYSU. Accessed September 21, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951.

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

MLA Handbook (7th Edition):

Yang, Chih-Chin. “A Spam Filter Based on Reinforcement and Collaboration.” 2008. Web. 21 Sep 2020.

Vancouver:

Yang C. A Spam Filter Based on Reinforcement and Collaboration. [Internet] [Thesis]. NSYSU; 2008. [cited 2020 Sep 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951.

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

Council of Science Editors:

Yang C. A Spam Filter Based on Reinforcement and Collaboration. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0807108-164951

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


NSYSU

6. Ou, Ya-Hui. Detecting Targeted Attacks by Risk Evaluation.

Degree: PhD, Information Management, 2017, NSYSU

 More recently, the problems of targeted attack have been the major subject of study in the fields of network attack research due to the increase… (more)

Subjects/Keywords: targeted attack; feature reduce; rough set theory; intrusion detection system

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APA (6th Edition):

Ou, Y. (2017). Detecting Targeted Attacks by Risk Evaluation. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151

Chicago Manual of Style (16th Edition):

Ou, Ya-Hui. “Detecting Targeted Attacks by Risk Evaluation.” 2017. Doctoral Dissertation, NSYSU. Accessed September 21, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151.

MLA Handbook (7th Edition):

Ou, Ya-Hui. “Detecting Targeted Attacks by Risk Evaluation.” 2017. Web. 21 Sep 2020.

Vancouver:

Ou Y. Detecting Targeted Attacks by Risk Evaluation. [Internet] [Doctoral dissertation]. NSYSU; 2017. [cited 2020 Sep 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151.

Council of Science Editors:

Ou Y. Detecting Targeted Attacks by Risk Evaluation. [Doctoral Dissertation]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151


NSYSU

7. Wang, Tse-yao. The study of data preprocessing difference to impact the botnet detection performance.

Degree: PhD, Information Management, 2016, NSYSU

 Many studies employ machine learning to detect botnet C&C communications traffic quite effective. If the former data handled properly, it will affect the final detection… (more)

Subjects/Keywords: data transformation; machine learning; Botnet detection; Rough Set Theory; feature selection

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APA (6th Edition):

Wang, T. (2016). The study of data preprocessing difference to impact the botnet detection performance. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523

Chicago Manual of Style (16th Edition):

Wang, Tse-yao. “The study of data preprocessing difference to impact the botnet detection performance.” 2016. Doctoral Dissertation, NSYSU. Accessed September 21, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523.

MLA Handbook (7th Edition):

Wang, Tse-yao. “The study of data preprocessing difference to impact the botnet detection performance.” 2016. Web. 21 Sep 2020.

Vancouver:

Wang T. The study of data preprocessing difference to impact the botnet detection performance. [Internet] [Doctoral dissertation]. NSYSU; 2016. [cited 2020 Sep 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523.

Council of Science Editors:

Wang T. The study of data preprocessing difference to impact the botnet detection performance. [Doctoral Dissertation]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523

8. Petralia, Giovanni. L'approccio dei rough sets basati sulla dominanza applicato alla valutazione dei merito creditizio.

Degree: 2011, Università degli Studi di Catania

Oggetto del presente tesi di dottorato e' applicare i rough sets basati sulla dominanza alla valutazione del rischio di credito. In particolare, partendo dai risultati… (more)

Subjects/Keywords: Dominance-based rough set approach; Credit scoring; Discriminant analysis

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APA (6th Edition):

Petralia, G. (2011). L'approccio dei rough sets basati sulla dominanza applicato alla valutazione dei merito creditizio. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/284

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):

Petralia, Giovanni. “L'approccio dei rough sets basati sulla dominanza applicato alla valutazione dei merito creditizio.” 2011. Thesis, Università degli Studi di Catania. Accessed September 21, 2020. http://hdl.handle.net/10761/284.

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

MLA Handbook (7th Edition):

Petralia, Giovanni. “L'approccio dei rough sets basati sulla dominanza applicato alla valutazione dei merito creditizio.” 2011. Web. 21 Sep 2020.

Vancouver:

Petralia G. L'approccio dei rough sets basati sulla dominanza applicato alla valutazione dei merito creditizio. [Internet] [Thesis]. Università degli Studi di Catania; 2011. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10761/284.

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

Council of Science Editors:

Petralia G. L'approccio dei rough sets basati sulla dominanza applicato alla valutazione dei merito creditizio. [Thesis]. Università degli Studi di Catania; 2011. Available from: http://hdl.handle.net/10761/284

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


Jawaharlal Nehru University

9. Jain, Rajni. Rough set based decision tree induction for data mining; -.

Degree: School of Computer and System Sciences, 2004, Jawaharlal Nehru University

Available

Bibliography p.243-254 and Appendicies p.A21-A28

Advisors/Committee Members: Minz, Sonajharia.

Subjects/Keywords: Data mining; Rough set; Tree induction

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APA (6th Edition):

Jain, R. (2004). Rough set based decision tree induction for data mining; -. (Thesis). Jawaharlal Nehru University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35602

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):

Jain, Rajni. “Rough set based decision tree induction for data mining; -.” 2004. Thesis, Jawaharlal Nehru University. Accessed September 21, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/35602.

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

MLA Handbook (7th Edition):

Jain, Rajni. “Rough set based decision tree induction for data mining; -.” 2004. Web. 21 Sep 2020.

Vancouver:

Jain R. Rough set based decision tree induction for data mining; -. [Internet] [Thesis]. Jawaharlal Nehru University; 2004. [cited 2020 Sep 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35602.

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

Council of Science Editors:

Jain R. Rough set based decision tree induction for data mining; -. [Thesis]. Jawaharlal Nehru University; 2004. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35602

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


University of New South Wales

10. Debie, Essam. Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies.

Degree: Engineering & Information Technology, 2014, University of New South Wales

 This thesis investigates the problem of high-dimensional data classification using evolutionary rule learning algorithms. High-dimensional data analysis problems are now commonplace due to the rapid… (more)

Subjects/Keywords: Supervised learning; Classification; Evolutionary algorithms; Learning Classifier Systems; Rough set theory; rule based learning

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APA (6th Edition):

Debie, E. (2014). Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53930 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12640/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Debie, Essam. “Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies.” 2014. Doctoral Dissertation, University of New South Wales. Accessed September 21, 2020. http://handle.unsw.edu.au/1959.4/53930 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12640/SOURCE02?view=true.

MLA Handbook (7th Edition):

Debie, Essam. “Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies.” 2014. Web. 21 Sep 2020.

Vancouver:

Debie E. Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2020 Sep 21]. Available from: http://handle.unsw.edu.au/1959.4/53930 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12640/SOURCE02?view=true.

Council of Science Editors:

Debie E. Evolutionary Rule Learning for High Dimensional Classification Problems: Investigations and Remedies. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53930 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12640/SOURCE02?view=true


University of Akron

11. Chen, Chen. SQL Implementation of Value Reduction with Multiset Decision Tables.

Degree: MS, Computer Science, 2014, University of Akron

 Data reduction is an important contribution of rough set theory in data analysis, data mining and machine learning. Most recent researches have focused on attribute… (more)

Subjects/Keywords: Computer Science; Rough Set Theory; Multiset decision table; Association rule mining; Value reduction

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APA (6th Edition):

Chen, C. (2014). SQL Implementation of Value Reduction with Multiset Decision Tables. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607

Chicago Manual of Style (16th Edition):

Chen, Chen. “SQL Implementation of Value Reduction with Multiset Decision Tables.” 2014. Masters Thesis, University of Akron. Accessed September 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607.

MLA Handbook (7th Edition):

Chen, Chen. “SQL Implementation of Value Reduction with Multiset Decision Tables.” 2014. Web. 21 Sep 2020.

Vancouver:

Chen C. SQL Implementation of Value Reduction with Multiset Decision Tables. [Internet] [Masters thesis]. University of Akron; 2014. [cited 2020 Sep 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607.

Council of Science Editors:

Chen C. SQL Implementation of Value Reduction with Multiset Decision Tables. [Masters Thesis]. University of Akron; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607


Brunel University

12. Al-Sultany, Ghaidaa Abdalhussein Billal. Automatic message annotation and semantic interface for context aware mobile computing.

Degree: PhD, 2012, Brunel University

 In this thesis, the concept of mobile messaging awareness has been investigated by designing and implementing a framework which is able to annotate the short… (more)

Subjects/Keywords: 006.76; Short text message; Annotation; Fuzzy lattice reasoning; Rough set; Domain ontology

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APA (6th Edition):

Al-Sultany, G. A. B. (2012). Automatic message annotation and semantic interface for context aware mobile computing. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/6564 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557779

Chicago Manual of Style (16th Edition):

Al-Sultany, Ghaidaa Abdalhussein Billal. “Automatic message annotation and semantic interface for context aware mobile computing.” 2012. Doctoral Dissertation, Brunel University. Accessed September 21, 2020. http://bura.brunel.ac.uk/handle/2438/6564 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557779.

MLA Handbook (7th Edition):

Al-Sultany, Ghaidaa Abdalhussein Billal. “Automatic message annotation and semantic interface for context aware mobile computing.” 2012. Web. 21 Sep 2020.

Vancouver:

Al-Sultany GAB. Automatic message annotation and semantic interface for context aware mobile computing. [Internet] [Doctoral dissertation]. Brunel University; 2012. [cited 2020 Sep 21]. Available from: http://bura.brunel.ac.uk/handle/2438/6564 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557779.

Council of Science Editors:

Al-Sultany GAB. Automatic message annotation and semantic interface for context aware mobile computing. [Doctoral Dissertation]. Brunel University; 2012. Available from: http://bura.brunel.ac.uk/handle/2438/6564 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557779


Delft University of Technology

13. Van den Brink, W. (author). Pioneering start-ups' first mover advantages and success factors in B2B service markets.

Degree: 2016, Delft University of Technology

Less attention has been given to first mover or pioneer advantages (FMA) for services than for physical products. Likewise, less attention has been given to… (more)

Subjects/Keywords: B2B; first mover; FMA; pioneering; start-up; spin-off; Rough Set Analysis

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APA (6th Edition):

Van den Brink, W. (. (2016). Pioneering start-ups' first mover advantages and success factors in B2B service markets. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b9283dd5-5aa7-4db0-89b4-5e0087a85f3a

Chicago Manual of Style (16th Edition):

Van den Brink, W (author). “Pioneering start-ups' first mover advantages and success factors in B2B service markets.” 2016. Masters Thesis, Delft University of Technology. Accessed September 21, 2020. http://resolver.tudelft.nl/uuid:b9283dd5-5aa7-4db0-89b4-5e0087a85f3a.

MLA Handbook (7th Edition):

Van den Brink, W (author). “Pioneering start-ups' first mover advantages and success factors in B2B service markets.” 2016. Web. 21 Sep 2020.

Vancouver:

Van den Brink W(. Pioneering start-ups' first mover advantages and success factors in B2B service markets. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2020 Sep 21]. Available from: http://resolver.tudelft.nl/uuid:b9283dd5-5aa7-4db0-89b4-5e0087a85f3a.

Council of Science Editors:

Van den Brink W(. Pioneering start-ups' first mover advantages and success factors in B2B service markets. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:b9283dd5-5aa7-4db0-89b4-5e0087a85f3a


Queensland University of Technology

14. Zhang, Libiao. Modelling uncertain decision boundary for text classification.

Degree: 2016, Queensland University of Technology

 Text classification is to classify documents into predefined categories by learned classifiers. Classic text classifiers cannot unambiguously describe decision boundary between relevant and irrelevant documents… (more)

Subjects/Keywords: Text Classification; Decision Boundary; Uncertainty; Rough Set; Three-way Decision; Euclidean Distance; Decision Rule; Centroid Training; Centroid Optimization; Relevance Prediction

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APA (6th Edition):

Zhang, L. (2016). Modelling uncertain decision boundary for text classification. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/102042/

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):

Zhang, Libiao. “Modelling uncertain decision boundary for text classification.” 2016. Thesis, Queensland University of Technology. Accessed September 21, 2020. https://eprints.qut.edu.au/102042/.

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

MLA Handbook (7th Edition):

Zhang, Libiao. “Modelling uncertain decision boundary for text classification.” 2016. Web. 21 Sep 2020.

Vancouver:

Zhang L. Modelling uncertain decision boundary for text classification. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2020 Sep 21]. Available from: https://eprints.qut.edu.au/102042/.

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

Council of Science Editors:

Zhang L. Modelling uncertain decision boundary for text classification. [Thesis]. Queensland University of Technology; 2016. Available from: https://eprints.qut.edu.au/102042/

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


Jawaharlal Nehru University

15. Singh, Girish Kumar. Rough set theory for data mining; -.

Degree: Computer Science, 2007, Jawaharlal Nehru University

None

Bibliography p.133-143

Advisors/Committee Members: Minz, SonaJharia.

Subjects/Keywords: Computer Science; System Science; Rough set theory; data mining

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APA (6th Edition):

Singh, G. K. (2007). Rough set theory for data mining; -. (Thesis). Jawaharlal Nehru University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/14399

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, Girish Kumar. “Rough set theory for data mining; -.” 2007. Thesis, Jawaharlal Nehru University. Accessed September 21, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/14399.

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

MLA Handbook (7th Edition):

Singh, Girish Kumar. “Rough set theory for data mining; -.” 2007. Web. 21 Sep 2020.

Vancouver:

Singh GK. Rough set theory for data mining; -. [Internet] [Thesis]. Jawaharlal Nehru University; 2007. [cited 2020 Sep 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/14399.

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

Council of Science Editors:

Singh GK. Rough set theory for data mining; -. [Thesis]. Jawaharlal Nehru University; 2007. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/14399

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


Anna University

16. Jaisankar, N. Intelligent access control and intrusion detection techniques For web database security; -.

Degree: Information and Communication Engineering, 2014, Anna University

In this thesis an intelligent framework for effective access control newlineand Intrusion Detection has been proposed and implemented in order to newlineprovide effective Security for… (more)

Subjects/Keywords: Fuzzy Rough Set Approach; Information and Communication engineering; Intelligent access control; Intrusion detection techniques; SpatioTemporal; web database security

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APA (6th Edition):

Jaisankar, N. (2014). Intelligent access control and intrusion detection techniques For web database security; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24745

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):

Jaisankar, N. “Intelligent access control and intrusion detection techniques For web database security; -.” 2014. Thesis, Anna University. Accessed September 21, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24745.

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

MLA Handbook (7th Edition):

Jaisankar, N. “Intelligent access control and intrusion detection techniques For web database security; -.” 2014. Web. 21 Sep 2020.

Vancouver:

Jaisankar N. Intelligent access control and intrusion detection techniques For web database security; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Sep 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24745.

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

Council of Science Editors:

Jaisankar N. Intelligent access control and intrusion detection techniques For web database security; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24745

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


University of Waterloo

17. Li, Jiye. Rough Set Based Rule Evaluations and Their Applications.

Degree: 2007, University of Waterloo

 Knowledge discovery is an important process in data analysis, data mining and machine learning. Typically knowledge is presented in the form of rules. However, knowledge… (more)

Subjects/Keywords: Data Mining; Rough Set; Rule Evaluations; Personalization

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

APA (6th Edition):

Li, J. (2007). Rough Set Based Rule Evaluations and Their Applications. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/2738

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, Jiye. “Rough Set Based Rule Evaluations and Their Applications.” 2007. Thesis, University of Waterloo. Accessed September 21, 2020. http://hdl.handle.net/10012/2738.

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

MLA Handbook (7th Edition):

Li, Jiye. “Rough Set Based Rule Evaluations and Their Applications.” 2007. Web. 21 Sep 2020.

Vancouver:

Li J. Rough Set Based Rule Evaluations and Their Applications. [Internet] [Thesis]. University of Waterloo; 2007. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10012/2738.

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

Council of Science Editors:

Li J. Rough Set Based Rule Evaluations and Their Applications. [Thesis]. University of Waterloo; 2007. Available from: http://hdl.handle.net/10012/2738

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


University of Johannesburg

18. Mpanza, Lindokuhle Justice. A rough set approach to bushings fault detection.

Degree: 2012, University of Johannesburg

M. Ing.

Fault detection tools have gained popularity in recent years due to the increasing need for reliable and predictable equipments. Transformer bushings account for… (more)

Subjects/Keywords: Bushings; Electric insulators; Fault detection methods; Rough set theory; Ant colony optimization; Computational intelligence; Dissolved gas analysis

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APA (6th Edition):

Mpanza, L. J. (2012). A rough set approach to bushings fault detection. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/4955

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):

Mpanza, Lindokuhle Justice. “A rough set approach to bushings fault detection.” 2012. Thesis, University of Johannesburg. Accessed September 21, 2020. http://hdl.handle.net/10210/4955.

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

MLA Handbook (7th Edition):

Mpanza, Lindokuhle Justice. “A rough set approach to bushings fault detection.” 2012. Web. 21 Sep 2020.

Vancouver:

Mpanza LJ. A rough set approach to bushings fault detection. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10210/4955.

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

Council of Science Editors:

Mpanza LJ. A rough set approach to bushings fault detection. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/4955

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


Queensland University of Technology

19. Chen, Shin Huey. Mining patterns and factors contributing to crash severity on road curves.

Degree: 2010, Queensland University of Technology

 Road curves are an important feature of road infrastructure and many serious crashes occur on road curves. In Queensland, the number of fatalities is twice… (more)

Subjects/Keywords: road curves; data mining; text mining; rough set analysis; crash risk assessment; index scale; ITS; road safety

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APA (6th Edition):

Chen, S. H. (2010). Mining patterns and factors contributing to crash severity on road curves. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/31711/

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):

Chen, Shin Huey. “Mining patterns and factors contributing to crash severity on road curves.” 2010. Thesis, Queensland University of Technology. Accessed September 21, 2020. https://eprints.qut.edu.au/31711/.

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

MLA Handbook (7th Edition):

Chen, Shin Huey. “Mining patterns and factors contributing to crash severity on road curves.” 2010. Web. 21 Sep 2020.

Vancouver:

Chen SH. Mining patterns and factors contributing to crash severity on road curves. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2020 Sep 21]. Available from: https://eprints.qut.edu.au/31711/.

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

Council of Science Editors:

Chen SH. Mining patterns and factors contributing to crash severity on road curves. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/31711/

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


Queensland University of Technology

20. Liu, Bin. Association hierarchy mining and its application for network traffic characterisation.

Degree: 2014, Queensland University of Technology

 This thesis presents an association rule mining approach, association hierarchy mining (AHM). Different to the traditional two-step bottom-up rule mining, AHM adopts one-step top-down rule… (more)

Subjects/Keywords: Data Mining; Association Rule Mining; Rough Set; Granule Mining; Interestingness Measure; Network Traffic Analysis; Characterizing Network Traffic

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APA (6th Edition):

Liu, B. (2014). Association hierarchy mining and its application for network traffic characterisation. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/78616/

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):

Liu, Bin. “Association hierarchy mining and its application for network traffic characterisation.” 2014. Thesis, Queensland University of Technology. Accessed September 21, 2020. https://eprints.qut.edu.au/78616/.

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

MLA Handbook (7th Edition):

Liu, Bin. “Association hierarchy mining and its application for network traffic characterisation.” 2014. Web. 21 Sep 2020.

Vancouver:

Liu B. Association hierarchy mining and its application for network traffic characterisation. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2020 Sep 21]. Available from: https://eprints.qut.edu.au/78616/.

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

Council of Science Editors:

Liu B. Association hierarchy mining and its application for network traffic characterisation. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/78616/

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


Univerzitet u Beogradu

21. Štirbanović, Zoran M. Modeliranje tehnoloških procesa u rudarstvu u uslovima nedovoljnosti podataka primenom teorije grubih skupova.

Degree: Rudarsko-geološki fakultet, 2016, Univerzitet u Beogradu

Rudarsko inženjerstvo-Sistemsko inženjerstvo / Mining engineering-System engineering

Rudarstvo, a u okviru njega i priprema mineralnih sirovina, se odlikuje složenošću tehnoloških procesa što je posledica velikog… (more)

Subjects/Keywords: mining; mineral procesing; rough set theory; multi-criteria decision-making; flotation tailings landfill; flotation collector; flotation machine

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APA (6th Edition):

Štirbanović, Z. M. (2016). Modeliranje tehnoloških procesa u rudarstvu u uslovima nedovoljnosti podataka primenom teorije grubih skupova. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:11181/bdef:Content/get

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):

Štirbanović, Zoran M. “Modeliranje tehnoloških procesa u rudarstvu u uslovima nedovoljnosti podataka primenom teorije grubih skupova.” 2016. Thesis, Univerzitet u Beogradu. Accessed September 21, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:11181/bdef:Content/get.

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

MLA Handbook (7th Edition):

Štirbanović, Zoran M. “Modeliranje tehnoloških procesa u rudarstvu u uslovima nedovoljnosti podataka primenom teorije grubih skupova.” 2016. Web. 21 Sep 2020.

Vancouver:

Štirbanović ZM. Modeliranje tehnoloških procesa u rudarstvu u uslovima nedovoljnosti podataka primenom teorije grubih skupova. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2020 Sep 21]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11181/bdef:Content/get.

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

Council of Science Editors:

Štirbanović ZM. Modeliranje tehnoloških procesa u rudarstvu u uslovima nedovoljnosti podataka primenom teorije grubih skupova. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11181/bdef:Content/get

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


Northeastern University

22. Wu, Cheng. Novel function approximation techniques for large-scale reinforcement learning.

Degree: PhD, Department of Electrical and Computer Engineering, 2010, Northeastern University

 Function approximation can be used to improve the performance of reinforcement learners. Traditional techniques, including Tile Coding and Kanerva Coding, can give poor performance when… (more)

Subjects/Keywords: computer engineering; cognitive radio network; function approximation; fuzzy logic; reinforcement learning; rough set; Adaptive computing system; Approximation theory; Computer Engineering

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APA (6th Edition):

Wu, C. (2010). Novel function approximation techniques for large-scale reinforcement learning. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20000932

Chicago Manual of Style (16th Edition):

Wu, Cheng. “Novel function approximation techniques for large-scale reinforcement learning.” 2010. Doctoral Dissertation, Northeastern University. Accessed September 21, 2020. http://hdl.handle.net/2047/d20000932.

MLA Handbook (7th Edition):

Wu, Cheng. “Novel function approximation techniques for large-scale reinforcement learning.” 2010. Web. 21 Sep 2020.

Vancouver:

Wu C. Novel function approximation techniques for large-scale reinforcement learning. [Internet] [Doctoral dissertation]. Northeastern University; 2010. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/2047/d20000932.

Council of Science Editors:

Wu C. Novel function approximation techniques for large-scale reinforcement learning. [Doctoral Dissertation]. Northeastern University; 2010. Available from: http://hdl.handle.net/2047/d20000932


University of South Florida

23. Gil-Herrera, Eleazar. Classification Models in Clinical Decision Making.

Degree: 2013, University of South Florida

 In this dissertation, we present a collection of manuscripts describing the development of prognostic models designed to assist clinical decision making. This work is motivated… (more)

Subjects/Keywords: Clinical data analysis; Hospice referral; Patient centered prognostic models; Rough set theory; Computer Engineering; Industrial Engineering; Medicine and Health Sciences

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APA (6th Edition):

Gil-Herrera, E. (2013). Classification Models in Clinical Decision Making. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/4895

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):

Gil-Herrera, Eleazar. “Classification Models in Clinical Decision Making.” 2013. Thesis, University of South Florida. Accessed September 21, 2020. https://scholarcommons.usf.edu/etd/4895.

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

MLA Handbook (7th Edition):

Gil-Herrera, Eleazar. “Classification Models in Clinical Decision Making.” 2013. Web. 21 Sep 2020.

Vancouver:

Gil-Herrera E. Classification Models in Clinical Decision Making. [Internet] [Thesis]. University of South Florida; 2013. [cited 2020 Sep 21]. Available from: https://scholarcommons.usf.edu/etd/4895.

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

Council of Science Editors:

Gil-Herrera E. Classification Models in Clinical Decision Making. [Thesis]. University of South Florida; 2013. Available from: https://scholarcommons.usf.edu/etd/4895

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

24. Chalkidou, Sevasti. Δημιουργία μοντέλου πρόβλεψης μεταβολών χρήσεων γης σε αστικές και περι-αστικές περιοχές με τη χρήση των δεδομένων του κτηματολογίου.

Degree: 2019, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

 The present Ph.D thesis forms part of the broader research regarding the exploration and documentation of the processes that lead to land use change at… (more)

Subjects/Keywords: Κτηματολόγιο; Χρήσεις γης; Κυψελοειδή αυτόματα; Θεωρία προσεγγιστικών συνόλων; Cadastre; Land use; Cellular automata; Rough set theory

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APA (6th Edition):

Chalkidou, S. (2019). Δημιουργία μοντέλου πρόβλεψης μεταβολών χρήσεων γης σε αστικές και περι-αστικές περιοχές με τη χρήση των δεδομένων του κτηματολογίου. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/46830

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):

Chalkidou, Sevasti. “Δημιουργία μοντέλου πρόβλεψης μεταβολών χρήσεων γης σε αστικές και περι-αστικές περιοχές με τη χρήση των δεδομένων του κτηματολογίου.” 2019. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed September 21, 2020. http://hdl.handle.net/10442/hedi/46830.

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

MLA Handbook (7th Edition):

Chalkidou, Sevasti. “Δημιουργία μοντέλου πρόβλεψης μεταβολών χρήσεων γης σε αστικές και περι-αστικές περιοχές με τη χρήση των δεδομένων του κτηματολογίου.” 2019. Web. 21 Sep 2020.

Vancouver:

Chalkidou S. Δημιουργία μοντέλου πρόβλεψης μεταβολών χρήσεων γης σε αστικές και περι-αστικές περιοχές με τη χρήση των δεδομένων του κτηματολογίου. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2019. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10442/hedi/46830.

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

Council of Science Editors:

Chalkidou S. Δημιουργία μοντέλου πρόβλεψης μεταβολών χρήσεων γης σε αστικές και περι-αστικές περιοχές με τη χρήση των δεδομένων του κτηματολογίου. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2019. Available from: http://hdl.handle.net/10442/hedi/46830

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


Ohio University

25. Nelson, Dale E. High range resolution radar target classification: A rough set approach.

Degree: PhD, Electrical Engineering & Computer Science (Engineering and Technology), 2001, Ohio University

  High Range Resolution (HRR) radar is one sensor of interest to the military. This sensor collects data which is a range profile of an… (more)

Subjects/Keywords: High range resolution; radar target; classification; a rough set approach

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APA (6th Edition):

Nelson, D. E. (2001). High range resolution radar target classification: A rough set approach. (Doctoral Dissertation). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1179156677

Chicago Manual of Style (16th Edition):

Nelson, Dale E. “High range resolution radar target classification: A rough set approach.” 2001. Doctoral Dissertation, Ohio University. Accessed September 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1179156677.

MLA Handbook (7th Edition):

Nelson, Dale E. “High range resolution radar target classification: A rough set approach.” 2001. Web. 21 Sep 2020.

Vancouver:

Nelson DE. High range resolution radar target classification: A rough set approach. [Internet] [Doctoral dissertation]. Ohio University; 2001. [cited 2020 Sep 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1179156677.

Council of Science Editors:

Nelson DE. High range resolution radar target classification: A rough set approach. [Doctoral Dissertation]. Ohio University; 2001. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1179156677

26. Jayaveeran, N. An investigation of rough set based association rule mining for web personalization; -.

Degree: Computer Science, 2011, Bharathidasan University

None

References p.171-176

Advisors/Committee Members: Balasubramanian, R.

Subjects/Keywords: Computer Science; Online Product Purchasing System; Rough Set Theory; Data Mining; Web Minin

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APA (6th Edition):

Jayaveeran, N. (2011). An investigation of rough set based association rule mining for web personalization; -. (Thesis). Bharathidasan University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9532

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):

Jayaveeran, N. “An investigation of rough set based association rule mining for web personalization; -.” 2011. Thesis, Bharathidasan University. Accessed September 21, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/9532.

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

MLA Handbook (7th Edition):

Jayaveeran, N. “An investigation of rough set based association rule mining for web personalization; -.” 2011. Web. 21 Sep 2020.

Vancouver:

Jayaveeran N. An investigation of rough set based association rule mining for web personalization; -. [Internet] [Thesis]. Bharathidasan University; 2011. [cited 2020 Sep 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9532.

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

Council of Science Editors:

Jayaveeran N. An investigation of rough set based association rule mining for web personalization; -. [Thesis]. Bharathidasan University; 2011. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9532

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


University of Cincinnati

27. HE, AIJING. UNSUPERVISED DATA MINING BY RECURSIVE PARTITIONING.

Degree: MS, Engineering : Computer Science, 2002, University of Cincinnati

 In this thesis, an experimental investigation into unsupervised database mining was conducted. A novel paradigm for autonomous mining proposed by Dr. L. J. Mazlack was… (more)

Subjects/Keywords: Computer Science; data mining; recursive partitioning; rough set; unsupervised; knowledge discovery

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

APA (6th Edition):

HE, A. (2002). UNSUPERVISED DATA MINING BY RECURSIVE PARTITIONING. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1026406153

Chicago Manual of Style (16th Edition):

HE, AIJING. “UNSUPERVISED DATA MINING BY RECURSIVE PARTITIONING.” 2002. Masters Thesis, University of Cincinnati. Accessed September 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1026406153.

MLA Handbook (7th Edition):

HE, AIJING. “UNSUPERVISED DATA MINING BY RECURSIVE PARTITIONING.” 2002. Web. 21 Sep 2020.

Vancouver:

HE A. UNSUPERVISED DATA MINING BY RECURSIVE PARTITIONING. [Internet] [Masters thesis]. University of Cincinnati; 2002. [cited 2020 Sep 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1026406153.

Council of Science Editors:

HE A. UNSUPERVISED DATA MINING BY RECURSIVE PARTITIONING. [Masters Thesis]. University of Cincinnati; 2002. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1026406153


NSYSU

28. Chiu, Yu-fen. Anti-Spam Study: an Alliance-based Approach.

Degree: Master, Information Management, 2006, NSYSU

 The growing problem of spam has generated a need for reliable anti-spam filters. There are many filtering techniques along with machine learning and data miming… (more)

Subjects/Keywords: Rough set theory; Reinforcement learning; XCS classifier system; Spam; Text classification

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

APA (6th Edition):

Chiu, Y. (2006). Anti-Spam Study: an Alliance-based Approach. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912106-173411

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):

Chiu, Yu-fen. “Anti-Spam Study: an Alliance-based Approach.” 2006. Thesis, NSYSU. Accessed September 21, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912106-173411.

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

MLA Handbook (7th Edition):

Chiu, Yu-fen. “Anti-Spam Study: an Alliance-based Approach.” 2006. Web. 21 Sep 2020.

Vancouver:

Chiu Y. Anti-Spam Study: an Alliance-based Approach. [Internet] [Thesis]. NSYSU; 2006. [cited 2020 Sep 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912106-173411.

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

Council of Science Editors:

Chiu Y. Anti-Spam Study: an Alliance-based Approach. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912106-173411

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


West Virginia University

29. Nobel, Madonna A. Understanding the Novice Decision-Making Process in Forensic Footwear Examinations: Accuracy and Decision Rules.

Degree: MS, Forensic and Investigative Science, 2018, West Virginia University

  The reproducibility of experienced-based forensic pattern interpretation is founded on the notion that domain-specific knowledge can be successfully distributed and applied among experts within… (more)

Subjects/Keywords: data mining; rough set theory; forensic footwear evidence; footwear examination; forensic impression evidence; Multivariate Analysis; Other Physical Sciences and Mathematics; Science and Technology Studies

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

APA (6th Edition):

Nobel, M. A. (2018). Understanding the Novice Decision-Making Process in Forensic Footwear Examinations: Accuracy and Decision Rules. (Thesis). West Virginia University. Retrieved from https://doi.org/10.33915/etd.3692 ; https://researchrepository.wvu.edu/etd/3692

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):

Nobel, Madonna A. “Understanding the Novice Decision-Making Process in Forensic Footwear Examinations: Accuracy and Decision Rules.” 2018. Thesis, West Virginia University. Accessed September 21, 2020. https://doi.org/10.33915/etd.3692 ; https://researchrepository.wvu.edu/etd/3692.

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

MLA Handbook (7th Edition):

Nobel, Madonna A. “Understanding the Novice Decision-Making Process in Forensic Footwear Examinations: Accuracy and Decision Rules.” 2018. Web. 21 Sep 2020.

Vancouver:

Nobel MA. Understanding the Novice Decision-Making Process in Forensic Footwear Examinations: Accuracy and Decision Rules. [Internet] [Thesis]. West Virginia University; 2018. [cited 2020 Sep 21]. Available from: https://doi.org/10.33915/etd.3692 ; https://researchrepository.wvu.edu/etd/3692.

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

Council of Science Editors:

Nobel MA. Understanding the Novice Decision-Making Process in Forensic Footwear Examinations: Accuracy and Decision Rules. [Thesis]. West Virginia University; 2018. Available from: https://doi.org/10.33915/etd.3692 ; https://researchrepository.wvu.edu/etd/3692

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


Queensland University of Technology

30. Zhou, Xujuan. Rough set-based reasoning and pattern mining for information filtering.

Degree: 2008, Queensland University of Technology

 An information filtering (IF) system monitors an incoming document stream to find the documents that match the information needs specified by the user profiles. To… (more)

Subjects/Keywords: information filtering; information retrieval; rough set decision theory; user profile; threshold decision; machine learning; text classification; data mining; sequential pattern mining; pattern taxonomy model

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

APA (6th Edition):

Zhou, X. (2008). Rough set-based reasoning and pattern mining for information filtering. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/29350/

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):

Zhou, Xujuan. “Rough set-based reasoning and pattern mining for information filtering.” 2008. Thesis, Queensland University of Technology. Accessed September 21, 2020. https://eprints.qut.edu.au/29350/.

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

MLA Handbook (7th Edition):

Zhou, Xujuan. “Rough set-based reasoning and pattern mining for information filtering.” 2008. Web. 21 Sep 2020.

Vancouver:

Zhou X. Rough set-based reasoning and pattern mining for information filtering. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2020 Sep 21]. Available from: https://eprints.qut.edu.au/29350/.

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

Council of Science Editors:

Zhou X. Rough set-based reasoning and pattern mining for information filtering. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/29350/

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

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