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You searched for subject:(Data Mining). Showing records 1 – 30 of 3225 total matches.

[1] [2] [3] [4] [5] … [108]

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University of Hong Kong

1. Xu, Yong. Top-k SAS : on reliable retrieval of top-k tags.

Degree: M. Phil., 2017, University of Hong Kong

above method is quite challenging. To address this problem, we propose a learning-based method which applies machine learning models to estimate whether the k most… (more)

Subjects/Keywords: Data mining

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APA (6th Edition):

Xu, Y. (2017). Top-k SAS : on reliable retrieval of top-k tags. (Masters Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/244320

Chicago Manual of Style (16th Edition):

Xu, Yong. “Top-k SAS : on reliable retrieval of top-k tags.” 2017. Masters Thesis, University of Hong Kong. Accessed February 22, 2019. http://hdl.handle.net/10722/244320.

MLA Handbook (7th Edition):

Xu, Yong. “Top-k SAS : on reliable retrieval of top-k tags.” 2017. Web. 22 Feb 2019.

Vancouver:

Xu Y. Top-k SAS : on reliable retrieval of top-k tags. [Internet] [Masters thesis]. University of Hong Kong; 2017. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10722/244320.

Council of Science Editors:

Xu Y. Top-k SAS : on reliable retrieval of top-k tags. [Masters Thesis]. University of Hong Kong; 2017. Available from: http://hdl.handle.net/10722/244320


University of Hong Kong

2. Wan, Chang. Mining multi-faceted data.

Degree: M. Phil., 2013, University of Hong Kong

Multi-faceted data contains different types of objects and relationships between them. With rapid growth of web-based services, multi-faceted data are increasing (e.g. Flickr, Yago, IMDB),… (more)

Subjects/Keywords: Data mining

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APA (6th Edition):

Wan, C. (2013). Mining multi-faceted data. (Masters Thesis). University of Hong Kong. Retrieved from Wan, C. [萬暢]. (2013). Mining multi-faceted data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194751 ; http://dx.doi.org/10.5353/th_b5194751 ; http://hdl.handle.net/10722/197527

Chicago Manual of Style (16th Edition):

Wan, Chang. “Mining multi-faceted data.” 2013. Masters Thesis, University of Hong Kong. Accessed February 22, 2019. Wan, C. [萬暢]. (2013). Mining multi-faceted data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194751 ; http://dx.doi.org/10.5353/th_b5194751 ; http://hdl.handle.net/10722/197527.

MLA Handbook (7th Edition):

Wan, Chang. “Mining multi-faceted data.” 2013. Web. 22 Feb 2019.

Vancouver:

Wan C. Mining multi-faceted data. [Internet] [Masters thesis]. University of Hong Kong; 2013. [cited 2019 Feb 22]. Available from: Wan, C. [萬暢]. (2013). Mining multi-faceted data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194751 ; http://dx.doi.org/10.5353/th_b5194751 ; http://hdl.handle.net/10722/197527.

Council of Science Editors:

Wan C. Mining multi-faceted data. [Masters Thesis]. University of Hong Kong; 2013. Available from: Wan, C. [萬暢]. (2013). Mining multi-faceted data. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b5194751 ; http://dx.doi.org/10.5353/th_b5194751 ; http://hdl.handle.net/10722/197527


Central Connecticut State University

3. Adu-Poku, Sampson, 1961-. Comparing classification algorithms in data mining.

Degree: Department of Mathematical Sciences, 2012, Central Connecticut State University

 In this thesis, support vector machines, neural networks, logistic regression, naïve Bayes, classification and regression trees, the C5.0 algorithms, QUEST, CHAID and discriminant analysis have… (more)

Subjects/Keywords: Data mining

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APA (6th Edition):

Adu-Poku, Sampson, 1. (2012). Comparing classification algorithms in data mining. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1768

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):

Adu-Poku, Sampson, 1961-. “Comparing classification algorithms in data mining.” 2012. Thesis, Central Connecticut State University. Accessed February 22, 2019. http://content.library.ccsu.edu/u?/ccsutheses,1768.

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

MLA Handbook (7th Edition):

Adu-Poku, Sampson, 1961-. “Comparing classification algorithms in data mining.” 2012. Web. 22 Feb 2019.

Vancouver:

Adu-Poku, Sampson 1. Comparing classification algorithms in data mining. [Internet] [Thesis]. Central Connecticut State University; 2012. [cited 2019 Feb 22]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1768.

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

Council of Science Editors:

Adu-Poku, Sampson 1. Comparing classification algorithms in data mining. [Thesis]. Central Connecticut State University; 2012. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1768

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


Central Connecticut State University

4. Reybod, Ramin, 1962-. Applying Data Mining on relational data and networks analysis with emphasis on Link Prediction.

Degree: Department of Computer Science, 2018, Central Connecticut State University

The "contact" patterns of individuals in a hospital ward, can give us useful information to explain certain dynamics and processes such as spread of infectious… (more)

Subjects/Keywords: Data mining.

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APA (6th Edition):

Reybod, Ramin, 1. (2018). Applying Data Mining on relational data and networks analysis with emphasis on Link Prediction. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2710

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):

Reybod, Ramin, 1962-. “Applying Data Mining on relational data and networks analysis with emphasis on Link Prediction.” 2018. Thesis, Central Connecticut State University. Accessed February 22, 2019. http://content.library.ccsu.edu/u?/ccsutheses,2710.

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

MLA Handbook (7th Edition):

Reybod, Ramin, 1962-. “Applying Data Mining on relational data and networks analysis with emphasis on Link Prediction.” 2018. Web. 22 Feb 2019.

Vancouver:

Reybod, Ramin 1. Applying Data Mining on relational data and networks analysis with emphasis on Link Prediction. [Internet] [Thesis]. Central Connecticut State University; 2018. [cited 2019 Feb 22]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2710.

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

Council of Science Editors:

Reybod, Ramin 1. Applying Data Mining on relational data and networks analysis with emphasis on Link Prediction. [Thesis]. Central Connecticut State University; 2018. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2710

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


Queens University

5. Lamb, Carolyn. Detecting Deception in Interrogation Settings .

Degree: Computing, 2012, Queens University

 Bag-of-words deception detection systems outperform humans, but are still not always accurate enough to be useful. In interrogation settings, present models do not take into… (more)

Subjects/Keywords: Data Mining; Deception; Text Mining

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APA (6th Edition):

Lamb, C. (2012). Detecting Deception in Interrogation Settings . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7695

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):

Lamb, Carolyn. “Detecting Deception in Interrogation Settings .” 2012. Thesis, Queens University. Accessed February 22, 2019. http://hdl.handle.net/1974/7695.

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

MLA Handbook (7th Edition):

Lamb, Carolyn. “Detecting Deception in Interrogation Settings .” 2012. Web. 22 Feb 2019.

Vancouver:

Lamb C. Detecting Deception in Interrogation Settings . [Internet] [Thesis]. Queens University; 2012. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1974/7695.

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

Council of Science Editors:

Lamb C. Detecting Deception in Interrogation Settings . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/7695

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


Cornell University

6. Haque, Asif-ul. Information And Social System Interaction .

Degree: 2011, Cornell University

 Ever increasing participation has made the interaction between information and social systems not only interesting to observe but essential to quantify and analyze. This dissertation… (more)

Subjects/Keywords: data mining; networks; text mining

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APA (6th Edition):

Haque, A. (2011). Information And Social System Interaction . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/30752

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):

Haque, Asif-ul. “Information And Social System Interaction .” 2011. Thesis, Cornell University. Accessed February 22, 2019. http://hdl.handle.net/1813/30752.

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

MLA Handbook (7th Edition):

Haque, Asif-ul. “Information And Social System Interaction .” 2011. Web. 22 Feb 2019.

Vancouver:

Haque A. Information And Social System Interaction . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1813/30752.

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

Council of Science Editors:

Haque A. Information And Social System Interaction . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30752

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


Montana State University

7. Ganesan Pillai, Karthik. Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions.

Degree: College of Engineering, 2014, Montana State University

 Due to the current rates of data acquisition, the growth of data volumes in nearly all domains of our lives is reaching historic proportions [5],… (more)

Subjects/Keywords: Data mining.; Big data.

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APA (6th Edition):

Ganesan Pillai, K. (2014). Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9422

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):

Ganesan Pillai, Karthik. “Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions.” 2014. Thesis, Montana State University. Accessed February 22, 2019. https://scholarworks.montana.edu/xmlui/handle/1/9422.

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

MLA Handbook (7th Edition):

Ganesan Pillai, Karthik. “Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions.” 2014. Web. 22 Feb 2019.

Vancouver:

Ganesan Pillai K. Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions. [Internet] [Thesis]. Montana State University; 2014. [cited 2019 Feb 22]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9422.

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

Council of Science Editors:

Ganesan Pillai K. Mining spatiotemporal co-occurrence patterns from massive data sets with evolving regions. [Thesis]. Montana State University; 2014. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9422

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

8. Chung, David H. S. High-dimensional glyph-based visualization and interactive techniques.

Degree: PhD, 2014, Swansea University

 The advancement of modern technology and scientific measurements has led to datasets growing in both size and complexity, exposing the need for more efficient and… (more)

Subjects/Keywords: 004; Data mining; Data processing

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APA (6th Edition):

Chung, D. H. S. (2014). High-dimensional glyph-based visualization and interactive techniques. (Doctoral Dissertation). Swansea University. Retrieved from https://cronfa.swan.ac.uk/Record/cronfa42276 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678364

Chicago Manual of Style (16th Edition):

Chung, David H S. “High-dimensional glyph-based visualization and interactive techniques.” 2014. Doctoral Dissertation, Swansea University. Accessed February 22, 2019. https://cronfa.swan.ac.uk/Record/cronfa42276 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678364.

MLA Handbook (7th Edition):

Chung, David H S. “High-dimensional glyph-based visualization and interactive techniques.” 2014. Web. 22 Feb 2019.

Vancouver:

Chung DHS. High-dimensional glyph-based visualization and interactive techniques. [Internet] [Doctoral dissertation]. Swansea University; 2014. [cited 2019 Feb 22]. Available from: https://cronfa.swan.ac.uk/Record/cronfa42276 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678364.

Council of Science Editors:

Chung DHS. High-dimensional glyph-based visualization and interactive techniques. [Doctoral Dissertation]. Swansea University; 2014. Available from: https://cronfa.swan.ac.uk/Record/cronfa42276 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678364


University of Texas – Austin

9. -3478-7289. Clinically interpretable models for healthcare data.

Degree: Electrical and Computer Engineering, 2015, University of Texas – Austin

 The increasing availability of electronic health records (EHRs) has spurred the adoption of data-driven approaches to provide additional insights for diagnoses, prognoses, and cost-effective patient… (more)

Subjects/Keywords: Data mining; Healthcare data

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APA (6th Edition):

-3478-7289. (2015). Clinically interpretable models for healthcare data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33383

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

Chicago Manual of Style (16th Edition):

-3478-7289. “Clinically interpretable models for healthcare data.” 2015. Thesis, University of Texas – Austin. Accessed February 22, 2019. http://hdl.handle.net/2152/33383.

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

MLA Handbook (7th Edition):

-3478-7289. “Clinically interpretable models for healthcare data.” 2015. Web. 22 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3478-7289. Clinically interpretable models for healthcare data. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/2152/33383.

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

Council of Science Editors:

-3478-7289. Clinically interpretable models for healthcare data. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33383

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


AUT University

10. Gottgtroy, Paulo. An ontology driven knowledge discovery framework for Dynamic Domains: methodology, tools and a Biomedical case .

Degree: 2011, AUT University

 The explosive growth in the volume of data and the growing number of disparate data sources is bringing enormous opportunities and challenges to many research… (more)

Subjects/Keywords: Data mining; Ontology

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APA (6th Edition):

Gottgtroy, P. (2011). An ontology driven knowledge discovery framework for Dynamic Domains: methodology, tools and a Biomedical case . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/1239

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):

Gottgtroy, Paulo. “An ontology driven knowledge discovery framework for Dynamic Domains: methodology, tools and a Biomedical case .” 2011. Thesis, AUT University. Accessed February 22, 2019. http://hdl.handle.net/10292/1239.

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

MLA Handbook (7th Edition):

Gottgtroy, Paulo. “An ontology driven knowledge discovery framework for Dynamic Domains: methodology, tools and a Biomedical case .” 2011. Web. 22 Feb 2019.

Vancouver:

Gottgtroy P. An ontology driven knowledge discovery framework for Dynamic Domains: methodology, tools and a Biomedical case . [Internet] [Thesis]. AUT University; 2011. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10292/1239.

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

Council of Science Editors:

Gottgtroy P. An ontology driven knowledge discovery framework for Dynamic Domains: methodology, tools and a Biomedical case . [Thesis]. AUT University; 2011. Available from: http://hdl.handle.net/10292/1239

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


Central Connecticut State University

11. Murugan, Senthil K. (Senthil Kumar), 1973-. Mining for Profitable Low-Risk Delta-Neutral Long Straddle Option Strategies.

Degree: Department of Mathematical Sciences, 2012, Central Connecticut State University

This study provides a framework for identifying potential low-risk high-profit option strategies. Delta-neutral long straddle strategies are explored. These strategies are profitable when the underlying… (more)

Subjects/Keywords: Data mining.; Investments.

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APA (6th Edition):

Murugan, Senthil K. (Senthil Kumar), 1. (2012). Mining for Profitable Low-Risk Delta-Neutral Long Straddle Option Strategies. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1816

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):

Murugan, Senthil K. (Senthil Kumar), 1973-. “Mining for Profitable Low-Risk Delta-Neutral Long Straddle Option Strategies.” 2012. Thesis, Central Connecticut State University. Accessed February 22, 2019. http://content.library.ccsu.edu/u?/ccsutheses,1816.

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

MLA Handbook (7th Edition):

Murugan, Senthil K. (Senthil Kumar), 1973-. “Mining for Profitable Low-Risk Delta-Neutral Long Straddle Option Strategies.” 2012. Web. 22 Feb 2019.

Vancouver:

Murugan, Senthil K. (Senthil Kumar) 1. Mining for Profitable Low-Risk Delta-Neutral Long Straddle Option Strategies. [Internet] [Thesis]. Central Connecticut State University; 2012. [cited 2019 Feb 22]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1816.

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

Council of Science Editors:

Murugan, Senthil K. (Senthil Kumar) 1. Mining for Profitable Low-Risk Delta-Neutral Long Straddle Option Strategies. [Thesis]. Central Connecticut State University; 2012. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1816

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


Central Connecticut State University

12. Snyder, Jyota D. Mining Gene Expression Data Generated by Next Generation Sequencing Technology.

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

Next generation DNA sequencing (NGS) technology has emerged as a result of genomic research progress made related to the Human Genome Project. A protocol of… (more)

Subjects/Keywords: Data mining.; Genomics.

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APA (6th Edition):

Snyder, J. D. (2014). Mining Gene Expression Data Generated by Next Generation Sequencing Technology. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2054

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):

Snyder, Jyota D. “Mining Gene Expression Data Generated by Next Generation Sequencing Technology.” 2014. Thesis, Central Connecticut State University. Accessed February 22, 2019. http://content.library.ccsu.edu/u?/ccsutheses,2054.

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

MLA Handbook (7th Edition):

Snyder, Jyota D. “Mining Gene Expression Data Generated by Next Generation Sequencing Technology.” 2014. Web. 22 Feb 2019.

Vancouver:

Snyder JD. Mining Gene Expression Data Generated by Next Generation Sequencing Technology. [Internet] [Thesis]. Central Connecticut State University; 2014. [cited 2019 Feb 22]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2054.

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

Council of Science Editors:

Snyder JD. Mining Gene Expression Data Generated by Next Generation Sequencing Technology. [Thesis]. Central Connecticut State University; 2014. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2054

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


Central Connecticut State University

13. Farrell, Cathy L., 1958-. Trinary Predictive Classification of Diabetic Episode Recurrence.

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

This thesis explores the value of trinary predictive modeling to the understanding of diabetesrelated hospitalizations. According the U.S. Centers for Disease Control and Prevention, diabetes… (more)

Subjects/Keywords: Data mining.; Diabetes.

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APA (6th Edition):

Farrell, Cathy L., 1. (2016). Trinary Predictive Classification of Diabetic Episode Recurrence. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2296

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):

Farrell, Cathy L., 1958-. “Trinary Predictive Classification of Diabetic Episode Recurrence.” 2016. Thesis, Central Connecticut State University. Accessed February 22, 2019. http://content.library.ccsu.edu/u?/ccsutheses,2296.

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

MLA Handbook (7th Edition):

Farrell, Cathy L., 1958-. “Trinary Predictive Classification of Diabetic Episode Recurrence.” 2016. Web. 22 Feb 2019.

Vancouver:

Farrell, Cathy L. 1. Trinary Predictive Classification of Diabetic Episode Recurrence. [Internet] [Thesis]. Central Connecticut State University; 2016. [cited 2019 Feb 22]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2296.

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

Council of Science Editors:

Farrell, Cathy L. 1. Trinary Predictive Classification of Diabetic Episode Recurrence. [Thesis]. Central Connecticut State University; 2016. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2296

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


Central Connecticut State University

14. Ironside, Brian Michael, 1978-. Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers.

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

Two approaches are tested to improve the predictive performance of classification ensembles, individually, and in combination. Eight datasets from the UCI machine learning repository are… (more)

Subjects/Keywords: Data mining.; Classification.

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APA (6th Edition):

Ironside, Brian Michael, 1. (2016). Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2357

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):

Ironside, Brian Michael, 1978-. “Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers.” 2016. Thesis, Central Connecticut State University. Accessed February 22, 2019. http://content.library.ccsu.edu/u?/ccsutheses,2357.

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

MLA Handbook (7th Edition):

Ironside, Brian Michael, 1978-. “Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers.” 2016. Web. 22 Feb 2019.

Vancouver:

Ironside, Brian Michael 1. Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers. [Internet] [Thesis]. Central Connecticut State University; 2016. [cited 2019 Feb 22]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2357.

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

Council of Science Editors:

Ironside, Brian Michael 1. Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers. [Thesis]. Central Connecticut State University; 2016. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2357

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


University of Southern California

15. Lim, Jongwoo. An efficient approach to clustering datasets with mixed type attributes in data mining.

Degree: PhD, Computer Science, 2013, University of Southern California

 We propose an efficient approach to clustering datasets with mixed type attributes (both numerical and categorical), while minimizing information loss during clustering. Real world datasets… (more)

Subjects/Keywords: clustering; data mining

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

APA (6th Edition):

Lim, J. (2013). An efficient approach to clustering datasets with mixed type attributes in data mining. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695

Chicago Manual of Style (16th Edition):

Lim, Jongwoo. “An efficient approach to clustering datasets with mixed type attributes in data mining.” 2013. Doctoral Dissertation, University of Southern California. Accessed February 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695.

MLA Handbook (7th Edition):

Lim, Jongwoo. “An efficient approach to clustering datasets with mixed type attributes in data mining.” 2013. Web. 22 Feb 2019.

Vancouver:

Lim J. An efficient approach to clustering datasets with mixed type attributes in data mining. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Feb 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695.

Council of Science Editors:

Lim J. An efficient approach to clustering datasets with mixed type attributes in data mining. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/333350/rec/695


University of Debrecen

16. Kocsis, Annamária. Data Mining Algorithm in Bi-Clustering Applications .

Degree: DE – TEK – Informatikai Kar, 2009, University of Debrecen

A szakdolgozat célja a biclustering, mint technika bemutatása, és az adatbányászat e biológiai alkalmazásának, gyakorlati szinten történő illusztrációja. Advisors/Committee Members: Ispány, Márton (advisor).

Subjects/Keywords: Biclustering; Data Mining

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

APA (6th Edition):

Kocsis, A. (2009). Data Mining Algorithm in Bi-Clustering Applications . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/85461

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):

Kocsis, Annamária. “Data Mining Algorithm in Bi-Clustering Applications .” 2009. Thesis, University of Debrecen. Accessed February 22, 2019. http://hdl.handle.net/2437/85461.

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

MLA Handbook (7th Edition):

Kocsis, Annamária. “Data Mining Algorithm in Bi-Clustering Applications .” 2009. Web. 22 Feb 2019.

Vancouver:

Kocsis A. Data Mining Algorithm in Bi-Clustering Applications . [Internet] [Thesis]. University of Debrecen; 2009. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/2437/85461.

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

Council of Science Editors:

Kocsis A. Data Mining Algorithm in Bi-Clustering Applications . [Thesis]. University of Debrecen; 2009. Available from: http://hdl.handle.net/2437/85461

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


University of Manitoba

17. Jiang, Fan. Frequent pattern mining of uncertain data streams.

Degree: Computer Science, 2011, University of Manitoba

 When dealing with uncertain data, users may not be certain about the presence of an item in the database. For example, due to inherent instrumental… (more)

Subjects/Keywords: Data mining; Databases

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

APA (6th Edition):

Jiang, F. (2011). Frequent pattern mining of uncertain data streams. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/5233

Chicago Manual of Style (16th Edition):

Jiang, Fan. “Frequent pattern mining of uncertain data streams.” 2011. Masters Thesis, University of Manitoba. Accessed February 22, 2019. http://hdl.handle.net/1993/5233.

MLA Handbook (7th Edition):

Jiang, Fan. “Frequent pattern mining of uncertain data streams.” 2011. Web. 22 Feb 2019.

Vancouver:

Jiang F. Frequent pattern mining of uncertain data streams. [Internet] [Masters thesis]. University of Manitoba; 2011. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1993/5233.

Council of Science Editors:

Jiang F. Frequent pattern mining of uncertain data streams. [Masters Thesis]. University of Manitoba; 2011. Available from: http://hdl.handle.net/1993/5233


University of Manitoba

18. MacKinnon, Richard Kyle. Seeing the forest for the trees: tree-based uncertain frequent pattern mining.

Degree: Computer Science, 2014, University of Manitoba

 Many frequent pattern mining algorithms operate on precise data, where each data point is an exact accounting of a phenomena (e.g., I have exactly two… (more)

Subjects/Keywords: Data mining; Databases

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APA (6th Edition):

MacKinnon, R. K. (2014). Seeing the forest for the trees: tree-based uncertain frequent pattern mining. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31059

Chicago Manual of Style (16th Edition):

MacKinnon, Richard Kyle. “Seeing the forest for the trees: tree-based uncertain frequent pattern mining.” 2014. Masters Thesis, University of Manitoba. Accessed February 22, 2019. http://hdl.handle.net/1993/31059.

MLA Handbook (7th Edition):

MacKinnon, Richard Kyle. “Seeing the forest for the trees: tree-based uncertain frequent pattern mining.” 2014. Web. 22 Feb 2019.

Vancouver:

MacKinnon RK. Seeing the forest for the trees: tree-based uncertain frequent pattern mining. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1993/31059.

Council of Science Editors:

MacKinnon RK. Seeing the forest for the trees: tree-based uncertain frequent pattern mining. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/31059


University of Texas – Austin

19. -2916-0908. PM2.5 study : explore PM2.5 in Beijing using data mining methods and social media data.

Degree: Information, 2016, University of Texas – Austin

 Air pollution is one of the worst outcomes from industrialization. Among other air pollutants, PM2.5 is believed to pose the greatest risks to human health… (more)

Subjects/Keywords: Data mining; Weibo

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

APA (6th Edition):

-2916-0908. (2016). PM2.5 study : explore PM2.5 in Beijing using data mining methods and social media data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45792

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

Chicago Manual of Style (16th Edition):

-2916-0908. “PM2.5 study : explore PM2.5 in Beijing using data mining methods and social media data.” 2016. Thesis, University of Texas – Austin. Accessed February 22, 2019. http://hdl.handle.net/2152/45792.

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

MLA Handbook (7th Edition):

-2916-0908. “PM2.5 study : explore PM2.5 in Beijing using data mining methods and social media data.” 2016. Web. 22 Feb 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-2916-0908. PM2.5 study : explore PM2.5 in Beijing using data mining methods and social media data. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/2152/45792.

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

Council of Science Editors:

-2916-0908. PM2.5 study : explore PM2.5 in Beijing using data mining methods and social media data. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45792

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


McMaster University

20. Al-janabi, Samir. An Integrated Approach to Improve Data Quality.

Degree: PhD, 2016, McMaster University

Thesis

A huge quantity of data is created and saved everyday in databases from different types of data sources, including financial data, web log data,… (more)

Subjects/Keywords: data management; data quality; data mining

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

APA (6th Edition):

Al-janabi, S. (2016). An Integrated Approach to Improve Data Quality. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/19161

Chicago Manual of Style (16th Edition):

Al-janabi, Samir. “An Integrated Approach to Improve Data Quality.” 2016. Doctoral Dissertation, McMaster University. Accessed February 22, 2019. http://hdl.handle.net/11375/19161.

MLA Handbook (7th Edition):

Al-janabi, Samir. “An Integrated Approach to Improve Data Quality.” 2016. Web. 22 Feb 2019.

Vancouver:

Al-janabi S. An Integrated Approach to Improve Data Quality. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/11375/19161.

Council of Science Editors:

Al-janabi S. An Integrated Approach to Improve Data Quality. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/19161


AUT University

21. 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 February 22, 2019. http://hdl.handle.net/10292/826.

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

MLA Handbook (7th Edition):

Vithal Kadam, Omkar. “Novel applications of Association Rule Mining- Data Stream Mining .” 2010. Web. 22 Feb 2019.

Vancouver:

Vithal Kadam O. Novel applications of Association Rule Mining- Data Stream Mining . [Internet] [Thesis]. AUT University; 2010. [cited 2019 Feb 22]. 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


University of Lethbridge

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

Degree: 2010, University of Lethbridge

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Two new approaches to evaluate association rules .” 2010. Thesis, University of Lethbridge. Accessed February 22, 2019. http://hdl.handle.net/10133/2530.

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

MLA Handbook (7th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Two new approaches to evaluate association rules .” 2010. Web. 22 Feb 2019.

Vancouver:

Science UoLFoAa. Two new approaches to evaluate association rules . [Internet] [Thesis]. University of Lethbridge; 2010. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/10133/2530.

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

Council of Science Editors:

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

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


University of Manitoba

23. Zhang, Hao. Scalable vertical mining for big data analytics.

Degree: Computer Science, 2016, University of Manitoba

 The increasing size of modern applications produces huge amounts of data, which in turn leads to a new challenge to data mining or big data(more)

Subjects/Keywords: Data mining; Frequent pattern mining; Big data; Data analytics

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

APA (6th Edition):

Zhang, H. (2016). Scalable vertical mining for big data analytics. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31951

Chicago Manual of Style (16th Edition):

Zhang, Hao. “Scalable vertical mining for big data analytics.” 2016. Masters Thesis, University of Manitoba. Accessed February 22, 2019. http://hdl.handle.net/1993/31951.

MLA Handbook (7th Edition):

Zhang, Hao. “Scalable vertical mining for big data analytics.” 2016. Web. 22 Feb 2019.

Vancouver:

Zhang H. Scalable vertical mining for big data analytics. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/1993/31951.

Council of Science Editors:

Zhang H. Scalable vertical mining for big data analytics. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31951


University of Central Florida

24. Secretan, James. An Architecture For High-performance Privacy-preserving And Distributed Data Mining.

Degree: 2009, University of Central Florida

 This dissertation discusses the development of an architecture and associated techniques to support Privacy Preserving and Distributed Data Mining. The field of Distributed Data Mining(more)

Subjects/Keywords: Data Mining; Privacy Preserving Data Mining; Distributed Data Mining; High-Performance Computing; Computer Engineering; Engineering

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

APA (6th Edition):

Secretan, J. (2009). An Architecture For High-performance Privacy-preserving And Distributed Data Mining. (Doctoral Dissertation). University of Central Florida. Retrieved from http://stars.library.ucf.edu/etd/3987

Chicago Manual of Style (16th Edition):

Secretan, James. “An Architecture For High-performance Privacy-preserving And Distributed Data Mining.” 2009. Doctoral Dissertation, University of Central Florida. Accessed February 22, 2019. http://stars.library.ucf.edu/etd/3987.

MLA Handbook (7th Edition):

Secretan, James. “An Architecture For High-performance Privacy-preserving And Distributed Data Mining.” 2009. Web. 22 Feb 2019.

Vancouver:

Secretan J. An Architecture For High-performance Privacy-preserving And Distributed Data Mining. [Internet] [Doctoral dissertation]. University of Central Florida; 2009. [cited 2019 Feb 22]. Available from: http://stars.library.ucf.edu/etd/3987.

Council of Science Editors:

Secretan J. An Architecture For High-performance Privacy-preserving And Distributed Data Mining. [Doctoral Dissertation]. University of Central Florida; 2009. Available from: http://stars.library.ucf.edu/etd/3987


North Carolina State University

25. Chopra, Pankaj. Data Mining Techniques to Enable Large-scale Exploratory Analysis of Heterogeneous Scientific Data.

Degree: PhD, Computer Science, 2009, North Carolina State University

 Recent advances in microarray technology have enabled scientists to simultaneously gather data on thousands of genes. However, due to the complexity of genetic interactions, the… (more)

Subjects/Keywords: pathway analysis; data mining; gene expression; data mining genetic pathways; microarray data mining; microarray clustering

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

APA (6th Edition):

Chopra, P. (2009). Data Mining Techniques to Enable Large-scale Exploratory Analysis of Heterogeneous Scientific Data. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4168

Chicago Manual of Style (16th Edition):

Chopra, Pankaj. “Data Mining Techniques to Enable Large-scale Exploratory Analysis of Heterogeneous Scientific Data.” 2009. Doctoral Dissertation, North Carolina State University. Accessed February 22, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4168.

MLA Handbook (7th Edition):

Chopra, Pankaj. “Data Mining Techniques to Enable Large-scale Exploratory Analysis of Heterogeneous Scientific Data.” 2009. Web. 22 Feb 2019.

Vancouver:

Chopra P. Data Mining Techniques to Enable Large-scale Exploratory Analysis of Heterogeneous Scientific Data. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Feb 22]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4168.

Council of Science Editors:

Chopra P. Data Mining Techniques to Enable Large-scale Exploratory Analysis of Heterogeneous Scientific Data. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4168


Anna University

26. Indumathi J. Data mystification for optimised and Efficacious privacy preserving data Mining;.

Degree: Data mystification for optimised and Efficacious privacy preserving data Mining, 2014, Anna University

The world has entered into the information era and the human newlinerace is forced to join in the forefront of the imminent technology The newlinerapid… (more)

Subjects/Keywords: Privacy preserving Data Mining

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APA (6th Edition):

J, I. (2014). Data mystification for optimised and Efficacious privacy preserving data Mining;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/28073

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):

J, Indumathi. “Data mystification for optimised and Efficacious privacy preserving data Mining;.” 2014. Thesis, Anna University. Accessed February 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/28073.

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

MLA Handbook (7th Edition):

J, Indumathi. “Data mystification for optimised and Efficacious privacy preserving data Mining;.” 2014. Web. 22 Feb 2019.

Vancouver:

J I. Data mystification for optimised and Efficacious privacy preserving data Mining;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Feb 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28073.

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

Council of Science Editors:

J I. Data mystification for optimised and Efficacious privacy preserving data Mining;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/28073

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

27. Nekkaa, Messaouda. Une approche SVM-méta-heuristique pour laclassification : application à l'information médicale.

Degree: 2016, Université M'Hamed Bougara Boumerdès

108 p. : ill. ; 30 cm

Ce projet de doctorat porte sur la r esolution du problème de classifcation de donn ees médicales par… (more)

Subjects/Keywords: Algorithmes : Informatique; Data mining

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

APA (6th Edition):

Nekkaa, M. (2016). Une approche SVM-méta-heuristique pour laclassification : application à l'information médicale. (Thesis). Université M'Hamed Bougara Boumerdès. Retrieved from http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2981

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):

Nekkaa, Messaouda. “Une approche SVM-méta-heuristique pour laclassification : application à l'information médicale.” 2016. Thesis, Université M'Hamed Bougara Boumerdès. Accessed February 22, 2019. http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2981.

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

MLA Handbook (7th Edition):

Nekkaa, Messaouda. “Une approche SVM-méta-heuristique pour laclassification : application à l'information médicale.” 2016. Web. 22 Feb 2019.

Vancouver:

Nekkaa M. Une approche SVM-méta-heuristique pour laclassification : application à l'information médicale. [Internet] [Thesis]. Université M'Hamed Bougara Boumerdès; 2016. [cited 2019 Feb 22]. Available from: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2981.

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

Council of Science Editors:

Nekkaa M. Une approche SVM-méta-heuristique pour laclassification : application à l'information médicale. [Thesis]. Université M'Hamed Bougara Boumerdès; 2016. Available from: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/2981

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


University of Utah

28. Zhuo, Yang. Knowledge discovery from databases: cost-sensitive and imbalance learning.

Degree: PhD, Operations Management (The David Eccles School of Business), 2010, University of Utah

 In the current business world, data collection for business analysis is not difficult any more. The major concern faced by business managers is whether they… (more)

Subjects/Keywords: Data mining; Knowledge acquisition

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

APA (6th Edition):

Zhuo, Y. (2010). Knowledge discovery from databases: cost-sensitive and imbalance learning. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/589/rec/1455

Chicago Manual of Style (16th Edition):

Zhuo, Yang. “Knowledge discovery from databases: cost-sensitive and imbalance learning.” 2010. Doctoral Dissertation, University of Utah. Accessed February 22, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/589/rec/1455.

MLA Handbook (7th Edition):

Zhuo, Yang. “Knowledge discovery from databases: cost-sensitive and imbalance learning.” 2010. Web. 22 Feb 2019.

Vancouver:

Zhuo Y. Knowledge discovery from databases: cost-sensitive and imbalance learning. [Internet] [Doctoral dissertation]. University of Utah; 2010. [cited 2019 Feb 22]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/589/rec/1455.

Council of Science Editors:

Zhuo Y. Knowledge discovery from databases: cost-sensitive and imbalance learning. [Doctoral Dissertation]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/589/rec/1455


University of British Columbia

29. Zhou, Xiaodong. Discovering and summarizing email conversations .

Degree: 2008, University of British Columbia

 With the ever increasing popularity of emails, it is very common nowadays that people discuss specific issues, events or tasks among a group of people… (more)

Subjects/Keywords: email summarization; data mining

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

APA (6th Edition):

Zhou, X. (2008). Discovering and summarizing email conversations . (Thesis). University of British Columbia. Retrieved from http://hdl.handle.net/2429/337

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, Xiaodong. “Discovering and summarizing email conversations .” 2008. Thesis, University of British Columbia. Accessed February 22, 2019. http://hdl.handle.net/2429/337.

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

MLA Handbook (7th Edition):

Zhou, Xiaodong. “Discovering and summarizing email conversations .” 2008. Web. 22 Feb 2019.

Vancouver:

Zhou X. Discovering and summarizing email conversations . [Internet] [Thesis]. University of British Columbia; 2008. [cited 2019 Feb 22]. Available from: http://hdl.handle.net/2429/337.

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. Discovering and summarizing email conversations . [Thesis]. University of British Columbia; 2008. Available from: http://hdl.handle.net/2429/337

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


Simon Fraser University

30. Lu, Yichun. Concept hierarchy in data mining : specification, generation and implementation.

Degree: 1997, Simon Fraser University

Subjects/Keywords: Data mining.

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APA (6th Edition):

Lu, Y. (1997). Concept hierarchy in data mining : specification, generation and implementation. (Thesis). Simon Fraser University. Retrieved from http://summit.sfu.ca/item/7984

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):

Lu, Yichun. “Concept hierarchy in data mining : specification, generation and implementation.” 1997. Thesis, Simon Fraser University. Accessed February 22, 2019. http://summit.sfu.ca/item/7984.

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

MLA Handbook (7th Edition):

Lu, Yichun. “Concept hierarchy in data mining : specification, generation and implementation.” 1997. Web. 22 Feb 2019.

Vancouver:

Lu Y. Concept hierarchy in data mining : specification, generation and implementation. [Internet] [Thesis]. Simon Fraser University; 1997. [cited 2019 Feb 22]. Available from: http://summit.sfu.ca/item/7984.

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

Council of Science Editors:

Lu Y. Concept hierarchy in data mining : specification, generation and implementation. [Thesis]. Simon Fraser University; 1997. Available from: http://summit.sfu.ca/item/7984

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

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