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Dept: Computer Science

You searched for subject:(Association of MultiEthnic Americans). Showing records 1 – 30 of 580 total matches.

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University of Southern California

1. Won, Dongwoo. An efficient approach to categorizing association rules.

Degree: PhD, Computer Science, 2010, University of Southern California

 The application of association rules, which specify relationships among large sets of items, is a fundamental data mining technique used for various applications. In this… (more)

Subjects/Keywords: association; clustering; data mining; relevance

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

APA (6th Edition):

Won, D. (2010). An efficient approach to categorizing association rules. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/349116/rec/694

Chicago Manual of Style (16th Edition):

Won, Dongwoo. “An efficient approach to categorizing association rules.” 2010. Doctoral Dissertation, University of Southern California. Accessed December 09, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/349116/rec/694.

MLA Handbook (7th Edition):

Won, Dongwoo. “An efficient approach to categorizing association rules.” 2010. Web. 09 Dec 2019.

Vancouver:

Won D. An efficient approach to categorizing association rules. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Dec 09]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/349116/rec/694.

Council of Science Editors:

Won D. An efficient approach to categorizing association rules. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/349116/rec/694


Anna University

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

Degree: Computer Science, 2013, Anna University

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

V, Umarani. “On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;.” 2013. Thesis, Anna University. Accessed December 09, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/24357.

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

MLA Handbook (7th Edition):

V, Umarani. “On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;.” 2013. Web. 09 Dec 2019.

Vancouver:

V U. On Developing Effectual Algorithms For Association Rule Discovery In Transaction Databases;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Dec 09]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24357.

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

Council of Science Editors:

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

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


University of California – Berkeley

3. Rahman, Atif Hasan. Statistical Models for Genome Assembly and Analysis.

Degree: Computer Science, 2015, University of California – Berkeley

 Genome assembly is the process of merging fragments of DNA sequences produced by shotgun sequencing in order to reconstruct the original genome. It is complicated… (more)

Subjects/Keywords: Computer science; Bioinformatics; Association mapping; Genome assembly; Sequencing; Statistical models

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APA (6th Edition):

Rahman, A. H. (2015). Statistical Models for Genome Assembly and Analysis. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/6hx4q2gm

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):

Rahman, Atif Hasan. “Statistical Models for Genome Assembly and Analysis.” 2015. Thesis, University of California – Berkeley. Accessed December 09, 2019. http://www.escholarship.org/uc/item/6hx4q2gm.

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

MLA Handbook (7th Edition):

Rahman, Atif Hasan. “Statistical Models for Genome Assembly and Analysis.” 2015. Web. 09 Dec 2019.

Vancouver:

Rahman AH. Statistical Models for Genome Assembly and Analysis. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2019 Dec 09]. Available from: http://www.escholarship.org/uc/item/6hx4q2gm.

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

Council of Science Editors:

Rahman AH. Statistical Models for Genome Assembly and Analysis. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/6hx4q2gm

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


University of Illinois – Urbana-Champaign

4. Li, Kevin Yu. Modeling and analyzing the NCAA Men’s Division I Basketball Tournament.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 The National Collegiate Athletic Association (NCAA) Men's Division I Basketball Tournament is an annually held basketball tournament between top universities throughout the United States. Along… (more)

Subjects/Keywords: March Madness; National Collegiate Athletic Association (NCAA); Basketball

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

APA (6th Edition):

Li, K. Y. (2017). Modeling and analyzing the NCAA Men’s Division I Basketball Tournament. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99366

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, Kevin Yu. “Modeling and analyzing the NCAA Men’s Division I Basketball Tournament.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed December 09, 2019. http://hdl.handle.net/2142/99366.

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

MLA Handbook (7th Edition):

Li, Kevin Yu. “Modeling and analyzing the NCAA Men’s Division I Basketball Tournament.” 2017. Web. 09 Dec 2019.

Vancouver:

Li KY. Modeling and analyzing the NCAA Men’s Division I Basketball Tournament. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/2142/99366.

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

Council of Science Editors:

Li KY. Modeling and analyzing the NCAA Men’s Division I Basketball Tournament. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99366

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


San Jose State University

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

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

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

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

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

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Jia, Dongyi. “Association Rule Mining  – Geometry and Parallel Computing Approach.” 2011. Masters Thesis, San Jose State University. Accessed December 09, 2019. https://doi.org/10.31979/etd.stmg-pfp3 ; https://scholarworks.sjsu.edu/etd_projects/174.

MLA Handbook (7th Edition):

Jia, Dongyi. “Association Rule Mining  – Geometry and Parallel Computing Approach.” 2011. Web. 09 Dec 2019.

Vancouver:

Jia D. Association Rule Mining  – Geometry and Parallel Computing Approach. [Internet] [Masters thesis]. San Jose State University; 2011. [cited 2019 Dec 09]. Available from: https://doi.org/10.31979/etd.stmg-pfp3 ; https://scholarworks.sjsu.edu/etd_projects/174.

Council of Science Editors:

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


University of Illinois – Urbana-Champaign

6. Shi, Yu. Harnessing heterogeneous association in real-world networks.

Degree: PhD, Computer Science, 2019, University of Illinois – Urbana-Champaign

 Real-world networks often contain heterogeneity due to the heterogeneous nature of the world. A few examples of such networks include multi-view social networks, heterogeneous bibliographic… (more)

Subjects/Keywords: Network mining; Heterogeneity; Heterogeneous association; Real-world networks

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

APA (6th Edition):

Shi, Y. (2019). Harnessing heterogeneous association in real-world networks. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/104857

Chicago Manual of Style (16th Edition):

Shi, Yu. “Harnessing heterogeneous association in real-world networks.” 2019. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 09, 2019. http://hdl.handle.net/2142/104857.

MLA Handbook (7th Edition):

Shi, Yu. “Harnessing heterogeneous association in real-world networks.” 2019. Web. 09 Dec 2019.

Vancouver:

Shi Y. Harnessing heterogeneous association in real-world networks. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2019. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/2142/104857.

Council of Science Editors:

Shi Y. Harnessing heterogeneous association in real-world networks. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2019. Available from: http://hdl.handle.net/2142/104857


University of California – San Diego

7. Saini, Shubham. Admixture History of Andean Highlanders.

Degree: Computer Science, 2017, University of California – San Diego

 South American populations have a complex admixture history. The earliest Native Americans are known to have migrated into the Americas as early as 14000 years… (more)

Subjects/Keywords: Computer science; Bioinformatics; Admixture; Bioinformatics; Native Americans; Population Genetics

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APA (6th Edition):

Saini, S. (2017). Admixture History of Andean Highlanders. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/8fm859v8

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):

Saini, Shubham. “Admixture History of Andean Highlanders.” 2017. Thesis, University of California – San Diego. Accessed December 09, 2019. http://www.escholarship.org/uc/item/8fm859v8.

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

MLA Handbook (7th Edition):

Saini, Shubham. “Admixture History of Andean Highlanders.” 2017. Web. 09 Dec 2019.

Vancouver:

Saini S. Admixture History of Andean Highlanders. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2019 Dec 09]. Available from: http://www.escholarship.org/uc/item/8fm859v8.

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

Council of Science Editors:

Saini S. Admixture History of Andean Highlanders. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/8fm859v8

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


New Jersey Institute of Technology

8. Jadhav, Bharati. Risk prediction with genomic data.

Degree: MSin Bioinformatics - (M.S.), Computer Science, 2014, New Jersey Institute of Technology

  Genome wide association study (GWAS) is widely used with various machine learning algorithms to predict disease risk. This thesis investigates this widely used approach… (more)

Subjects/Keywords: Genome wide association study (GWAS); Disease risk prediction; Single Nucleotide Polymorphism (SNP) genotype data; Whole Exome Wide Association Study (WEWAS); Bioinformatics; Computer Sciences

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

APA (6th Edition):

Jadhav, B. (2014). Risk prediction with genomic data. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/199

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):

Jadhav, Bharati. “Risk prediction with genomic data.” 2014. Thesis, New Jersey Institute of Technology. Accessed December 09, 2019. https://digitalcommons.njit.edu/theses/199.

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

MLA Handbook (7th Edition):

Jadhav, Bharati. “Risk prediction with genomic data.” 2014. Web. 09 Dec 2019.

Vancouver:

Jadhav B. Risk prediction with genomic data. [Internet] [Thesis]. New Jersey Institute of Technology; 2014. [cited 2019 Dec 09]. Available from: https://digitalcommons.njit.edu/theses/199.

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

Council of Science Editors:

Jadhav B. Risk prediction with genomic data. [Thesis]. New Jersey Institute of Technology; 2014. Available from: https://digitalcommons.njit.edu/theses/199

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


University of Akron

9. 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 December 09, 2019. 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. 09 Dec 2019.

Vancouver:

Chen C. SQL Implementation of Value Reduction with Multiset Decision Tables. [Internet] [Masters thesis]. University of Akron; 2014. [cited 2019 Dec 09]. 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

10. Englin, Riley. Indirect association rule mining for crime data analysis.

Degree: MS, Computer Science, 2015, Eastern Washington University

  "Crime data analysis is difficult to undertake. There are continuous efforts to analyze crime and determine ways to combat crime but that task is… (more)

Subjects/Keywords: Data mining; Association rule mining; Crime analysis; Family violence – Illinois – Chicago – Case studies; Computer Sciences

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APA (6th Edition):

Englin, R. (2015). Indirect association rule mining for crime data analysis. (Thesis). Eastern Washington University. Retrieved from http://dc.ewu.edu/theses/331

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):

Englin, Riley. “Indirect association rule mining for crime data analysis.” 2015. Thesis, Eastern Washington University. Accessed December 09, 2019. http://dc.ewu.edu/theses/331.

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

MLA Handbook (7th Edition):

Englin, Riley. “Indirect association rule mining for crime data analysis.” 2015. Web. 09 Dec 2019.

Vancouver:

Englin R. Indirect association rule mining for crime data analysis. [Internet] [Thesis]. Eastern Washington University; 2015. [cited 2019 Dec 09]. Available from: http://dc.ewu.edu/theses/331.

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

Council of Science Editors:

Englin R. Indirect association rule mining for crime data analysis. [Thesis]. Eastern Washington University; 2015. Available from: http://dc.ewu.edu/theses/331

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


UCLA

11. Hormozdiari, Farhad. Statistical Methods to Understand the Genetic Architecture of Complex Traits.

Degree: Computer Science, 2016, UCLA

 Genome-wide association studies (GWAS) have successfully identified thousands of risk loci for complex traits.Identifying these variants requires annotating all possible variations between any two individuals,… (more)

Subjects/Keywords: Computer science; Genetics; Biostatistics; Causal variant; Fine-mapping; Genome-wide association studies; High-throughput sequencing

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APA (6th Edition):

Hormozdiari, F. (2016). Statistical Methods to Understand the Genetic Architecture of Complex Traits. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/15q3q4bh

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):

Hormozdiari, Farhad. “Statistical Methods to Understand the Genetic Architecture of Complex Traits.” 2016. Thesis, UCLA. Accessed December 09, 2019. http://www.escholarship.org/uc/item/15q3q4bh.

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

MLA Handbook (7th Edition):

Hormozdiari, Farhad. “Statistical Methods to Understand the Genetic Architecture of Complex Traits.” 2016. Web. 09 Dec 2019.

Vancouver:

Hormozdiari F. Statistical Methods to Understand the Genetic Architecture of Complex Traits. [Internet] [Thesis]. UCLA; 2016. [cited 2019 Dec 09]. Available from: http://www.escholarship.org/uc/item/15q3q4bh.

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

Council of Science Editors:

Hormozdiari F. Statistical Methods to Understand the Genetic Architecture of Complex Traits. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/15q3q4bh

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


Georgia State University

12. He, Zaobo. Privacy Preserving Data Publishing.

Degree: PhD, Computer Science, 2018, Georgia State University

  Recent years have witnessed increasing interest among researchers in protecting individual privacy in the big data era, involving social media, genomics, and Internet of… (more)

Subjects/Keywords: Inference Attack; Data Sanitization; Differential Privacy; SNP-Trait Association; Belief Propagation; Probabilistic Graphical Model

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APA (6th Edition):

He, Z. (2018). Privacy Preserving Data Publishing. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/141

Chicago Manual of Style (16th Edition):

He, Zaobo. “Privacy Preserving Data Publishing.” 2018. Doctoral Dissertation, Georgia State University. Accessed December 09, 2019. https://scholarworks.gsu.edu/cs_diss/141.

MLA Handbook (7th Edition):

He, Zaobo. “Privacy Preserving Data Publishing.” 2018. Web. 09 Dec 2019.

Vancouver:

He Z. Privacy Preserving Data Publishing. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2019 Dec 09]. Available from: https://scholarworks.gsu.edu/cs_diss/141.

Council of Science Editors:

He Z. Privacy Preserving Data Publishing. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/cs_diss/141


New Jersey Institute of Technology

13. Singh, Neha. A comparative analysis of machine learning algorithms for genome wide association studies.

Degree: MSin Bioinformatics - (M.S.), Computer Science, 2012, New Jersey Institute of Technology

  Variations present in human genome play a vital role in the emergence of genetic disorders and abnormal traits. Single Nucleotide Polymorphism (SNP) is considered… (more)

Subjects/Keywords: Machine learning algorithms; Genome Wide Association Studies; Comparative analysis; Bioinformatics; Computer Sciences

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

APA (6th Edition):

Singh, N. (2012). A comparative analysis of machine learning algorithms for genome wide association studies. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/129

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, Neha. “A comparative analysis of machine learning algorithms for genome wide association studies.” 2012. Thesis, New Jersey Institute of Technology. Accessed December 09, 2019. https://digitalcommons.njit.edu/theses/129.

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

MLA Handbook (7th Edition):

Singh, Neha. “A comparative analysis of machine learning algorithms for genome wide association studies.” 2012. Web. 09 Dec 2019.

Vancouver:

Singh N. A comparative analysis of machine learning algorithms for genome wide association studies. [Internet] [Thesis]. New Jersey Institute of Technology; 2012. [cited 2019 Dec 09]. Available from: https://digitalcommons.njit.edu/theses/129.

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

Council of Science Editors:

Singh N. A comparative analysis of machine learning algorithms for genome wide association studies. [Thesis]. New Jersey Institute of Technology; 2012. Available from: https://digitalcommons.njit.edu/theses/129

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


New Jersey Institute of Technology

14. Roberts, Andrew. Phenotype prediction and feature selection in genome-wide association studies.

Degree: MSin Bioinformatics - (M.S.), Computer Science, 2012, New Jersey Institute of Technology

  Genome wide association studies (GWAS) search for correlations between single nucleotide polymorphisms (SNPs) in a subject genome and an observed phenotype. GWAS can be… (more)

Subjects/Keywords: Genome wide association studies; Single nucleotide polymorphisms; Phenotype prediction; Bioinformatics; Computer Sciences

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

APA (6th Edition):

Roberts, A. (2012). Phenotype prediction and feature selection in genome-wide association studies. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/130

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):

Roberts, Andrew. “Phenotype prediction and feature selection in genome-wide association studies.” 2012. Thesis, New Jersey Institute of Technology. Accessed December 09, 2019. https://digitalcommons.njit.edu/theses/130.

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

MLA Handbook (7th Edition):

Roberts, Andrew. “Phenotype prediction and feature selection in genome-wide association studies.” 2012. Web. 09 Dec 2019.

Vancouver:

Roberts A. Phenotype prediction and feature selection in genome-wide association studies. [Internet] [Thesis]. New Jersey Institute of Technology; 2012. [cited 2019 Dec 09]. Available from: https://digitalcommons.njit.edu/theses/130.

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

Council of Science Editors:

Roberts A. Phenotype prediction and feature selection in genome-wide association studies. [Thesis]. New Jersey Institute of Technology; 2012. Available from: https://digitalcommons.njit.edu/theses/130

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


San Jose State University

15. Le, David. Analyze Large Multidimensional Datasets Using Algebraic Topology.

Degree: MS, Computer Science, 2016, San Jose State University

  This paper presents an efficient algorithm to extract knowledge from high-dimensionality, high- complexity datasets using algebraic topology, namely simplicial complexes. Based on concept of… (more)

Subjects/Keywords: association rule search geometric traversal problem; Artificial Intelligence and Robotics; Databases and Information Systems

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

APA (6th Edition):

Le, D. (2016). Analyze Large Multidimensional Datasets Using Algebraic Topology. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.k9sg-r6wd ; https://scholarworks.sjsu.edu/etd_projects/492

Chicago Manual of Style (16th Edition):

Le, David. “Analyze Large Multidimensional Datasets Using Algebraic Topology.” 2016. Masters Thesis, San Jose State University. Accessed December 09, 2019. https://doi.org/10.31979/etd.k9sg-r6wd ; https://scholarworks.sjsu.edu/etd_projects/492.

MLA Handbook (7th Edition):

Le, David. “Analyze Large Multidimensional Datasets Using Algebraic Topology.” 2016. Web. 09 Dec 2019.

Vancouver:

Le D. Analyze Large Multidimensional Datasets Using Algebraic Topology. [Internet] [Masters thesis]. San Jose State University; 2016. [cited 2019 Dec 09]. Available from: https://doi.org/10.31979/etd.k9sg-r6wd ; https://scholarworks.sjsu.edu/etd_projects/492.

Council of Science Editors:

Le D. Analyze Large Multidimensional Datasets Using Algebraic Topology. [Masters Thesis]. San Jose State University; 2016. Available from: https://doi.org/10.31979/etd.k9sg-r6wd ; https://scholarworks.sjsu.edu/etd_projects/492


University of Michigan

16. Kunji, Khalid. Efficient Pedigree-Based Imputation.

Degree: MS, Computer Science, 2018, University of Michigan

 When performing a Genome-Wide Association Study (GWAS), one attempts to associate a phenotype with some genomic information, commonly a gene or set of genes. Often… (more)

Subjects/Keywords: Genome Imputation Given Inheritance; Genome-Wide Association Study; Haplotype; Imputation; Pedigrees; Phasing; Biostatistics; Bioinformatics; Genetics

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

APA (6th Edition):

Kunji, K. (2018). Efficient Pedigree-Based Imputation. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149464

Chicago Manual of Style (16th Edition):

Kunji, Khalid. “Efficient Pedigree-Based Imputation.” 2018. Masters Thesis, University of Michigan. Accessed December 09, 2019. http://hdl.handle.net/2027.42/149464.

MLA Handbook (7th Edition):

Kunji, Khalid. “Efficient Pedigree-Based Imputation.” 2018. Web. 09 Dec 2019.

Vancouver:

Kunji K. Efficient Pedigree-Based Imputation. [Internet] [Masters thesis]. University of Michigan; 2018. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/2027.42/149464.

Council of Science Editors:

Kunji K. Efficient Pedigree-Based Imputation. [Masters Thesis]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/149464

17. Shahbazi, Nima. Discovery and Effective Use of Frequent Item-set Mining and Association Rules in Datasets.

Degree: PhD, Computer Science, 2019, York University

 The unprecedented rise in digitized data generation has led to the ever-expanding demand for sophisticated storage and analysis methods capable of handling vast amounts of… (more)

Subjects/Keywords: Computer engineering; Machine learning; Recommender systems; Frequent itemset mining; Association rule mining

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

APA (6th Edition):

Shahbazi, N. (2019). Discovery and Effective Use of Frequent Item-set Mining and Association Rules in Datasets. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/35912

Chicago Manual of Style (16th Edition):

Shahbazi, Nima. “Discovery and Effective Use of Frequent Item-set Mining and Association Rules in Datasets.” 2019. Doctoral Dissertation, York University. Accessed December 09, 2019. http://hdl.handle.net/10315/35912.

MLA Handbook (7th Edition):

Shahbazi, Nima. “Discovery and Effective Use of Frequent Item-set Mining and Association Rules in Datasets.” 2019. Web. 09 Dec 2019.

Vancouver:

Shahbazi N. Discovery and Effective Use of Frequent Item-set Mining and Association Rules in Datasets. [Internet] [Doctoral dissertation]. York University; 2019. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10315/35912.

Council of Science Editors:

Shahbazi N. Discovery and Effective Use of Frequent Item-set Mining and Association Rules in Datasets. [Doctoral Dissertation]. York University; 2019. Available from: http://hdl.handle.net/10315/35912


Georgia State University

18. Chen, Bernard. Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries.

Degree: PhD, Computer Science, 2009, Georgia State University

 Protein sequence motifs are gathering more and more attention in the field of sequence analysis. The recurring patterns have the potential to determine the conformation,… (more)

Subjects/Keywords: Positional Association Rule; Super-Rule; protein sequence motif; FIK model; FGK model; Super GSVM-FE; HHK clustering algorithm; Computer Sciences

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

APA (6th Edition):

Chen, B. (2009). Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/42

Chicago Manual of Style (16th Edition):

Chen, Bernard. “Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries.” 2009. Doctoral Dissertation, Georgia State University. Accessed December 09, 2019. https://scholarworks.gsu.edu/cs_diss/42.

MLA Handbook (7th Edition):

Chen, Bernard. “Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries.” 2009. Web. 09 Dec 2019.

Vancouver:

Chen B. Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Dec 09]. Available from: https://scholarworks.gsu.edu/cs_diss/42.

Council of Science Editors:

Chen B. Discovery and Extraction of Protein Sequence Motif Information that Transcends Protein Family Boundaries. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/42


UCLA

19. Wang, Zhanyong. Efficient Statistical Models For Detecting And Analyzing Human Genetic Variations.

Degree: Computer Science, 2014, UCLA

 In recent years, the advent of genotyping and sequencing technologies has enabled human genetics to discover numerous genetic variants. Genetic variations between individuals can range… (more)

Subjects/Keywords: Computer science; Bioinformatics; Genetics; Copy Number variation; Gene Gene interaction; genome wide association study; high throughput sequencing; IBD; SNP

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

APA (6th Edition):

Wang, Z. (2014). Efficient Statistical Models For Detecting And Analyzing Human Genetic Variations. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7fq6q8xb

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

Chicago Manual of Style (16th Edition):

Wang, Zhanyong. “Efficient Statistical Models For Detecting And Analyzing Human Genetic Variations.” 2014. Thesis, UCLA. Accessed December 09, 2019. http://www.escholarship.org/uc/item/7fq6q8xb.

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

MLA Handbook (7th Edition):

Wang, Zhanyong. “Efficient Statistical Models For Detecting And Analyzing Human Genetic Variations.” 2014. Web. 09 Dec 2019.

Vancouver:

Wang Z. Efficient Statistical Models For Detecting And Analyzing Human Genetic Variations. [Internet] [Thesis]. UCLA; 2014. [cited 2019 Dec 09]. Available from: http://www.escholarship.org/uc/item/7fq6q8xb.

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

Council of Science Editors:

Wang Z. Efficient Statistical Models For Detecting And Analyzing Human Genetic Variations. [Thesis]. UCLA; 2014. Available from: http://www.escholarship.org/uc/item/7fq6q8xb

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


University of California – Berkeley

20. Brown, Brielin C. Computational approaches to understanding the genetic architecture of complex traits.

Degree: Computer Science, 2016, University of California – Berkeley

 Advances in DNA sequencing technology have resulted in the ability to generate genetic data at costs unimaginable even ten years ago. This has resulted in… (more)

Subjects/Keywords: Genetics; Computer science; Molecular biology; Allele specific expression; Complex trait genetics; Genome wide association study; RNA-Seq

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

APA (6th Edition):

Brown, B. C. (2016). Computational approaches to understanding the genetic architecture of complex traits. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/86q5k57j

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):

Brown, Brielin C. “Computational approaches to understanding the genetic architecture of complex traits.” 2016. Thesis, University of California – Berkeley. Accessed December 09, 2019. http://www.escholarship.org/uc/item/86q5k57j.

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

MLA Handbook (7th Edition):

Brown, Brielin C. “Computational approaches to understanding the genetic architecture of complex traits.” 2016. Web. 09 Dec 2019.

Vancouver:

Brown BC. Computational approaches to understanding the genetic architecture of complex traits. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2019 Dec 09]. Available from: http://www.escholarship.org/uc/item/86q5k57j.

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

Council of Science Editors:

Brown BC. Computational approaches to understanding the genetic architecture of complex traits. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/86q5k57j

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


University of California – Santa Cruz

21. Poblenz, Eric Charles. A Comprehensive Analysis of Tracking as a Data Association Problem.

Degree: Computer Science, 2015, University of California – Santa Cruz

 Algorithms based on traditional notion of tracking as a state estimation problemyield just a single interpretation of the data. For some applications, the ability toidentify… (more)

Subjects/Keywords: Computer science; Statistics; Computer engineering; data association; importance sampling; markov chain monte carlo; nonparametric prior; state estimation; tracking

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

APA (6th Edition):

Poblenz, E. C. (2015). A Comprehensive Analysis of Tracking as a Data Association Problem. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/6990v1kw

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):

Poblenz, Eric Charles. “A Comprehensive Analysis of Tracking as a Data Association Problem.” 2015. Thesis, University of California – Santa Cruz. Accessed December 09, 2019. http://www.escholarship.org/uc/item/6990v1kw.

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

MLA Handbook (7th Edition):

Poblenz, Eric Charles. “A Comprehensive Analysis of Tracking as a Data Association Problem.” 2015. Web. 09 Dec 2019.

Vancouver:

Poblenz EC. A Comprehensive Analysis of Tracking as a Data Association Problem. [Internet] [Thesis]. University of California – Santa Cruz; 2015. [cited 2019 Dec 09]. Available from: http://www.escholarship.org/uc/item/6990v1kw.

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

Council of Science Editors:

Poblenz EC. A Comprehensive Analysis of Tracking as a Data Association Problem. [Thesis]. University of California – Santa Cruz; 2015. Available from: http://www.escholarship.org/uc/item/6990v1kw

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


Virginia Commonwealth University

22. Henry, Sam. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.

Degree: PhD, Computer Science, 2019, Virginia Commonwealth University

  The exponential growth of scientific literature is creating an increased need for systems to process and assimilate knowledge contained within text. Literature Based Discovery… (more)

Subjects/Keywords: Literature Based Discovery; Semantic Association; Semantic Relatedness; Natural Language Processing; Data Mining; Text Processing; Text Mining; Other Computer Sciences

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

APA (6th Edition):

Henry, S. (2019). Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/5855

Chicago Manual of Style (16th Edition):

Henry, Sam. “Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.” 2019. Doctoral Dissertation, Virginia Commonwealth University. Accessed December 09, 2019. https://scholarscompass.vcu.edu/etd/5855.

MLA Handbook (7th Edition):

Henry, Sam. “Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.” 2019. Web. 09 Dec 2019.

Vancouver:

Henry S. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2019. [cited 2019 Dec 09]. Available from: https://scholarscompass.vcu.edu/etd/5855.

Council of Science Editors:

Henry S. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. [Doctoral Dissertation]. Virginia Commonwealth University; 2019. Available from: https://scholarscompass.vcu.edu/etd/5855

23. Zhao, Jiashu. Term Association Modelling in Information Retrieval.

Degree: PhD, Computer Science, 2015, York University

 Many traditional Information Retrieval (IR) models assume that query terms are independent of each other. For those models, a document is normally represented as a… (more)

Subjects/Keywords: Computer science; Information Retrieval; Term Association; Context-sensitive; Bi-gram; N-gram; Search; Proximity; Kernel Function; Indexing; Experimentation; modeling

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

APA (6th Edition):

Zhao, J. (2015). Term Association Modelling in Information Retrieval. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/30082

Chicago Manual of Style (16th Edition):

Zhao, Jiashu. “Term Association Modelling in Information Retrieval.” 2015. Doctoral Dissertation, York University. Accessed December 09, 2019. http://hdl.handle.net/10315/30082.

MLA Handbook (7th Edition):

Zhao, Jiashu. “Term Association Modelling in Information Retrieval.” 2015. Web. 09 Dec 2019.

Vancouver:

Zhao J. Term Association Modelling in Information Retrieval. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10315/30082.

Council of Science Editors:

Zhao J. Term Association Modelling in Information Retrieval. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/30082


Colorado State University

24. Pace, Weston Clement. Motion segmentation for feature association.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 In a feature based system physical objects are represented as spatial groups of features. Systems which hope to operate on objects must make associations between… (more)

Subjects/Keywords: motion segmentation; feature association; computer vision; Computer vision

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

APA (6th Edition):

Pace, W. C. (2007). Motion segmentation for feature association. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/44970

Chicago Manual of Style (16th Edition):

Pace, Weston Clement. “Motion segmentation for feature association.” 2007. Masters Thesis, Colorado State University. Accessed December 09, 2019. http://hdl.handle.net/10217/44970.

MLA Handbook (7th Edition):

Pace, Weston Clement. “Motion segmentation for feature association.” 2007. Web. 09 Dec 2019.

Vancouver:

Pace WC. Motion segmentation for feature association. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10217/44970.

Council of Science Editors:

Pace WC. Motion segmentation for feature association. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/44970

25. Hettne, Kristina. Using nuclear receptor interactions as biomarkers for metabolic syndrome.

Degree: Computer Science, 2003, University of Skövde

  Metabolic syndrome is taking epidemic proportions, especially in developed countries. Each risk factor component of the syndrome independently increases the risk of developing coronary… (more)

Subjects/Keywords: metabolic syndrome; pathways; association rules; Bioinformatics (Computational Biology); Bioinformatik (beräkningsbiologi)

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

APA (6th Edition):

Hettne, K. (2003). Using nuclear receptor interactions as biomarkers for metabolic syndrome. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-813

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):

Hettne, Kristina. “Using nuclear receptor interactions as biomarkers for metabolic syndrome.” 2003. Thesis, University of Skövde. Accessed December 09, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-813.

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

MLA Handbook (7th Edition):

Hettne, Kristina. “Using nuclear receptor interactions as biomarkers for metabolic syndrome.” 2003. Web. 09 Dec 2019.

Vancouver:

Hettne K. Using nuclear receptor interactions as biomarkers for metabolic syndrome. [Internet] [Thesis]. University of Skövde; 2003. [cited 2019 Dec 09]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-813.

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

Council of Science Editors:

Hettne K. Using nuclear receptor interactions as biomarkers for metabolic syndrome. [Thesis]. University of Skövde; 2003. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-813

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

26. Khambam, Bindu Madhavi K. Association rule mining visualization: learning association rule mining made easy.

Degree: MS, Computer Science, 2015, California State University – Sacramento

Association rule mining algorithms are the fundamentals for a data mining course. Association rule mining helps to extract useful information from the data for various… (more)

Subjects/Keywords: Association rule mining; Apriori algorithm; FP growth algorithm; Data mining

…5 2.3. Introduction of association rule learning… …24 xi LIST OF FIGURES Figures Page Figure 2.1 Hierarchy of association rule mining… …Association Rule Mining tutorial and make the students understand the basic concepts of association… …association rule mining.  Chapter 3 provides a detailed theoretical explanation of Apriori… …touching upon the basics of data mining and introducing association rule learning. Subsequently… 

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

APA (6th Edition):

Khambam, B. M. K. (2015). Association rule mining visualization: learning association rule mining made easy. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/138872

Chicago Manual of Style (16th Edition):

Khambam, Bindu Madhavi K. “Association rule mining visualization: learning association rule mining made easy.” 2015. Masters Thesis, California State University – Sacramento. Accessed December 09, 2019. http://hdl.handle.net/10211.3/138872.

MLA Handbook (7th Edition):

Khambam, Bindu Madhavi K. “Association rule mining visualization: learning association rule mining made easy.” 2015. Web. 09 Dec 2019.

Vancouver:

Khambam BMK. Association rule mining visualization: learning association rule mining made easy. [Internet] [Masters thesis]. California State University – Sacramento; 2015. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/10211.3/138872.

Council of Science Editors:

Khambam BMK. Association rule mining visualization: learning association rule mining made easy. [Masters Thesis]. California State University – Sacramento; 2015. Available from: http://hdl.handle.net/10211.3/138872


Georgia State University

27. Mao, Weidong. Prediction of Genetic Susceptibility to Complex Diseases.

Degree: PhD, Computer Science, 2006, Georgia State University

 The accessibility of high-throughput biology data brought a great deal of attention to disease association studies. High density maps of single nucleotide polymorphism (SNP's) as… (more)

Subjects/Keywords: Complex diseases; Susceptibility prediction; Disease association; Genetic susceptibility; Phasing; Computer Sciences

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

APA (6th Edition):

Mao, W. (2006). Prediction of Genetic Susceptibility to Complex Diseases. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/6

Chicago Manual of Style (16th Edition):

Mao, Weidong. “Prediction of Genetic Susceptibility to Complex Diseases.” 2006. Doctoral Dissertation, Georgia State University. Accessed December 09, 2019. https://scholarworks.gsu.edu/cs_diss/6.

MLA Handbook (7th Edition):

Mao, Weidong. “Prediction of Genetic Susceptibility to Complex Diseases.” 2006. Web. 09 Dec 2019.

Vancouver:

Mao W. Prediction of Genetic Susceptibility to Complex Diseases. [Internet] [Doctoral dissertation]. Georgia State University; 2006. [cited 2019 Dec 09]. Available from: https://scholarworks.gsu.edu/cs_diss/6.

Council of Science Editors:

Mao W. Prediction of Genetic Susceptibility to Complex Diseases. [Doctoral Dissertation]. Georgia State University; 2006. Available from: https://scholarworks.gsu.edu/cs_diss/6


University of Illinois – Urbana-Champaign

28. Gupta, Akshat. Pathfinder – an online shopping assistant driven by data mining.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Online Shopping is a household phrase that has been extremely successful in easing the lives of many people across the globe. Online shoppers spend ample… (more)

Subjects/Keywords: Data-mining; Text-mining; Reviews; Walmart; Amazon; Product-search; Probability; Word-association; Summary-generation; Related-words; Machine-learning; Information-retrieval; Search-engine; Key-phrase-highlighting; Walmart-application programming interface (API)

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

APA (6th Edition):

Gupta, A. (2017). Pathfinder – an online shopping assistant driven by data mining. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99362

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):

Gupta, Akshat. “Pathfinder – an online shopping assistant driven by data mining.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed December 09, 2019. http://hdl.handle.net/2142/99362.

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

MLA Handbook (7th Edition):

Gupta, Akshat. “Pathfinder – an online shopping assistant driven by data mining.” 2017. Web. 09 Dec 2019.

Vancouver:

Gupta A. Pathfinder – an online shopping assistant driven by data mining. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/2142/99362.

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

Council of Science Editors:

Gupta A. Pathfinder – an online shopping assistant driven by data mining. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99362

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


New Jersey Institute of Technology

29. Zhou, Xuan. Enhancing web marketing by using ontology.

Degree: PhD, Computer Science, 2006, New Jersey Institute of Technology

  The existence of the Web has a major impact on people's life styles. Online shopping, online banking, email, instant messenger services, search engines and… (more)

Subjects/Keywords: Ontology; Web marketing; Raisiing; Data mining; Association rule; Computer Sciences

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

APA (6th Edition):

Zhou, X. (2006). Enhancing web marketing by using ontology. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/783

Chicago Manual of Style (16th Edition):

Zhou, Xuan. “Enhancing web marketing by using ontology.” 2006. Doctoral Dissertation, New Jersey Institute of Technology. Accessed December 09, 2019. https://digitalcommons.njit.edu/dissertations/783.

MLA Handbook (7th Edition):

Zhou, Xuan. “Enhancing web marketing by using ontology.” 2006. Web. 09 Dec 2019.

Vancouver:

Zhou X. Enhancing web marketing by using ontology. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2006. [cited 2019 Dec 09]. Available from: https://digitalcommons.njit.edu/dissertations/783.

Council of Science Editors:

Zhou X. Enhancing web marketing by using ontology. [Doctoral Dissertation]. New Jersey Institute of Technology; 2006. Available from: https://digitalcommons.njit.edu/dissertations/783


Georgia State University

30. He, Yuanchen. Fuzzy-Granular Based Data Mining for Effective Decision Support in Biomedical Applications.

Degree: PhD, Computer Science, 2006, Georgia State University

 Due to complexity of biomedical problems, adaptive and intelligent knowledge discovery and data mining systems are highly needed to help humans to understand the inherent… (more)

Subjects/Keywords: Granular Computing; Fuzzy Association Rule Mining; Decision Support System; Binary Classification; Bioinformatics; Computational Intelligence; Data Mining; Knowledge Discovery; Computer Sciences

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

APA (6th Edition):

He, Y. (2006). Fuzzy-Granular Based Data Mining for Effective Decision Support in Biomedical Applications. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/12

Chicago Manual of Style (16th Edition):

He, Yuanchen. “Fuzzy-Granular Based Data Mining for Effective Decision Support in Biomedical Applications.” 2006. Doctoral Dissertation, Georgia State University. Accessed December 09, 2019. https://scholarworks.gsu.edu/cs_diss/12.

MLA Handbook (7th Edition):

He, Yuanchen. “Fuzzy-Granular Based Data Mining for Effective Decision Support in Biomedical Applications.” 2006. Web. 09 Dec 2019.

Vancouver:

He Y. Fuzzy-Granular Based Data Mining for Effective Decision Support in Biomedical Applications. [Internet] [Doctoral dissertation]. Georgia State University; 2006. [cited 2019 Dec 09]. Available from: https://scholarworks.gsu.edu/cs_diss/12.

Council of Science Editors:

He Y. Fuzzy-Granular Based Data Mining for Effective Decision Support in Biomedical Applications. [Doctoral Dissertation]. Georgia State University; 2006. Available from: https://scholarworks.gsu.edu/cs_diss/12

[1] [2] [3] [4] [5] … [20]

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