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You searched for subject:(Document Clustering). Showing records 1 – 30 of 76 total matches.

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Montana State University

1. Akbar, Monika. FP-growth approach for document clustering.

Degree: College of Engineering, 2008, Montana State University

 Since the amount of text data stored in computer repositories is growing every day, we need more than ever a reliable way to group or… (more)

Subjects/Keywords: Document clustering.

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

APA (6th Edition):

Akbar, M. (2008). FP-growth approach for document clustering. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/807

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):

Akbar, Monika. “FP-growth approach for document clustering.” 2008. Thesis, Montana State University. Accessed March 22, 2019. https://scholarworks.montana.edu/xmlui/handle/1/807.

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

MLA Handbook (7th Edition):

Akbar, Monika. “FP-growth approach for document clustering.” 2008. Web. 22 Mar 2019.

Vancouver:

Akbar M. FP-growth approach for document clustering. [Internet] [Thesis]. Montana State University; 2008. [cited 2019 Mar 22]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/807.

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

Council of Science Editors:

Akbar M. FP-growth approach for document clustering. [Thesis]. Montana State University; 2008. Available from: https://scholarworks.montana.edu/xmlui/handle/1/807

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


Queensland University of Technology

2. De Vries, Christopher Michael. Application of K-tree to document clustering.

Degree: 2010, Queensland University of Technology

 Digital collections are growing exponentially in size as the information age takes a firm grip on all aspects of society. As a result Information Retrieval… (more)

Subjects/Keywords: K-tree; document clustering

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APA (6th Edition):

De Vries, C. M. (2010). Application of K-tree to document clustering. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/37649/

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):

De Vries, Christopher Michael. “Application of K-tree to document clustering.” 2010. Thesis, Queensland University of Technology. Accessed March 22, 2019. https://eprints.qut.edu.au/37649/.

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

MLA Handbook (7th Edition):

De Vries, Christopher Michael. “Application of K-tree to document clustering.” 2010. Web. 22 Mar 2019.

Vancouver:

De Vries CM. Application of K-tree to document clustering. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2019 Mar 22]. Available from: https://eprints.qut.edu.au/37649/.

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

Council of Science Editors:

De Vries CM. Application of K-tree to document clustering. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/37649/

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


Dalhousie University

3. Badesh, Hoda. Investigating Aspects of Visual Clustering in the Organization of Personal Digital Document Collections.

Degree: Master of Computer Science, Faculty of Computer Science, 2013, Dalhousie University

 Organizing personal collections of digital documents can be frustrating for two main reasons. First, the effort required to work with the folder system on personal… (more)

Subjects/Keywords: Document; personal collection; interface; design; visualization; clustering

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APA (6th Edition):

Badesh, H. (2013). Investigating Aspects of Visual Clustering in the Organization of Personal Digital Document Collections. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/21426

Chicago Manual of Style (16th Edition):

Badesh, Hoda. “Investigating Aspects of Visual Clustering in the Organization of Personal Digital Document Collections.” 2013. Masters Thesis, Dalhousie University. Accessed March 22, 2019. http://hdl.handle.net/10222/21426.

MLA Handbook (7th Edition):

Badesh, Hoda. “Investigating Aspects of Visual Clustering in the Organization of Personal Digital Document Collections.” 2013. Web. 22 Mar 2019.

Vancouver:

Badesh H. Investigating Aspects of Visual Clustering in the Organization of Personal Digital Document Collections. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10222/21426.

Council of Science Editors:

Badesh H. Investigating Aspects of Visual Clustering in the Organization of Personal Digital Document Collections. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/21426

4. Ebbesson, Magnus. Document Clustering.

Degree: 2010, Chalmers University of Technology

 Cluster analysis is a sub-field in artificial intelligence and machine learning that refers to a group of algorithms that try to find a natural grouping… (more)

Subjects/Keywords: document clustering; text clustering; cluster analysis; cluster; unsupervised categorisation

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APA (6th Edition):

Ebbesson, M. (2010). Document Clustering. (Thesis). Chalmers University of Technology. Retrieved from http://studentarbeten.chalmers.se/publication/128681-document-clustering

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):

Ebbesson, Magnus. “Document Clustering.” 2010. Thesis, Chalmers University of Technology. Accessed March 22, 2019. http://studentarbeten.chalmers.se/publication/128681-document-clustering.

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

MLA Handbook (7th Edition):

Ebbesson, Magnus. “Document Clustering.” 2010. Web. 22 Mar 2019.

Vancouver:

Ebbesson M. Document Clustering. [Internet] [Thesis]. Chalmers University of Technology; 2010. [cited 2019 Mar 22]. Available from: http://studentarbeten.chalmers.se/publication/128681-document-clustering.

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

Council of Science Editors:

Ebbesson M. Document Clustering. [Thesis]. Chalmers University of Technology; 2010. Available from: http://studentarbeten.chalmers.se/publication/128681-document-clustering

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


NSYSU

5. Lin, Yung-Shen. Measuring Document Similarity Based on Text Classification and Clustering.

Degree: PhD, Institute of Electrical Engineering, 2013, NSYSU

 This thesis proposes a novel similarity measure that applies between documents. The proposed measure is also extended to gauge the similarity between two sets of… (more)

Subjects/Keywords: similarity function; feature selection; entropy; document clustering; document classification; near-duplicate document; accuracy; classifiers; clustering algorithms

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

APA (6th Edition):

Lin, Y. (2013). Measuring Document Similarity Based on Text Classification and Clustering. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0425113-122452

Chicago Manual of Style (16th Edition):

Lin, Yung-Shen. “Measuring Document Similarity Based on Text Classification and Clustering.” 2013. Doctoral Dissertation, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0425113-122452.

MLA Handbook (7th Edition):

Lin, Yung-Shen. “Measuring Document Similarity Based on Text Classification and Clustering.” 2013. Web. 22 Mar 2019.

Vancouver:

Lin Y. Measuring Document Similarity Based on Text Classification and Clustering. [Internet] [Doctoral dissertation]. NSYSU; 2013. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0425113-122452.

Council of Science Editors:

Lin Y. Measuring Document Similarity Based on Text Classification and Clustering. [Doctoral Dissertation]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0425113-122452


NSYSU

6. Wu, Chia-Chen. Personalized Document Clustering: Technique Development and Empirical Evaluation.

Degree: Master, Information Management, 2003, NSYSU

 With the proliferation of an electronic commerce and knowledge economy environment, both organizations and individuals generate and consume a large amount of online information, typically… (more)

Subjects/Keywords: Supervised Document Clustering; Personalized Document Clustering; Document Clustering; Hierarchical Agglomerative Clustering

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

APA (6th Edition):

Wu, C. (2003). Personalized Document Clustering: Technique Development and Empirical Evaluation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550

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

Chicago Manual of Style (16th Edition):

Wu, Chia-Chen. “Personalized Document Clustering: Technique Development and Empirical Evaluation.” 2003. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550.

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

MLA Handbook (7th Edition):

Wu, Chia-Chen. “Personalized Document Clustering: Technique Development and Empirical Evaluation.” 2003. Web. 22 Mar 2019.

Vancouver:

Wu C. Personalized Document Clustering: Technique Development and Empirical Evaluation. [Internet] [Thesis]. NSYSU; 2003. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550.

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

Council of Science Editors:

Wu C. Personalized Document Clustering: Technique Development and Empirical Evaluation. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0814103-140550

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


NSYSU

7. Yang, Chin-Sheng. Personalized and Context-aware Document Clustering.

Degree: PhD, Information Management, 2007, NSYSU

 To manage the ever-increasing volume of documents, organizations and individuals typically organize documents into categories (or category hierarchies) to facilitate their document management and support… (more)

Subjects/Keywords: Context-aware document clustering; Personalized document clustering; Text mining; Document clustering; Knowledge management

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

APA (6th Edition):

Yang, C. (2007). Personalized and Context-aware Document Clustering. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715107-184139

Chicago Manual of Style (16th Edition):

Yang, Chin-Sheng. “Personalized and Context-aware Document Clustering.” 2007. Doctoral Dissertation, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715107-184139.

MLA Handbook (7th Edition):

Yang, Chin-Sheng. “Personalized and Context-aware Document Clustering.” 2007. Web. 22 Mar 2019.

Vancouver:

Yang C. Personalized and Context-aware Document Clustering. [Internet] [Doctoral dissertation]. NSYSU; 2007. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715107-184139.

Council of Science Editors:

Yang C. Personalized and Context-aware Document Clustering. [Doctoral Dissertation]. NSYSU; 2007. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0715107-184139


University of North Texas

8. Buchanan, J. Paul. Information Structures in Notated Music: Statistical Explorations of Composers' Performance Marks in Solo Piano Scores.

Degree: 2016, University of North Texas

 Written notation has a long history in many musical traditions and has been particularly important in the composition and performance of Western art music. This… (more)

Subjects/Keywords: music notation; document theory; information theory; document clustering analysis; statistical language analysis; Information Science

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APA (6th Edition):

Buchanan, J. P. (2016). Information Structures in Notated Music: Statistical Explorations of Composers' Performance Marks in Solo Piano Scores. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc849733/

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):

Buchanan, J Paul. “Information Structures in Notated Music: Statistical Explorations of Composers' Performance Marks in Solo Piano Scores.” 2016. Thesis, University of North Texas. Accessed March 22, 2019. https://digital.library.unt.edu/ark:/67531/metadc849733/.

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

MLA Handbook (7th Edition):

Buchanan, J Paul. “Information Structures in Notated Music: Statistical Explorations of Composers' Performance Marks in Solo Piano Scores.” 2016. Web. 22 Mar 2019.

Vancouver:

Buchanan JP. Information Structures in Notated Music: Statistical Explorations of Composers' Performance Marks in Solo Piano Scores. [Internet] [Thesis]. University of North Texas; 2016. [cited 2019 Mar 22]. Available from: https://digital.library.unt.edu/ark:/67531/metadc849733/.

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

Council of Science Editors:

Buchanan JP. Information Structures in Notated Music: Statistical Explorations of Composers' Performance Marks in Solo Piano Scores. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc849733/

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


NSYSU

9. Liao, Shan-Yu. Feature Translation-based Multilingual Document Clustering Technique.

Degree: Master, Information Management, 2006, NSYSU

Document clustering automatically organizes a document collection into distinct groups of similar documents on the basis of their contents. Most of existing document clustering techniques… (more)

Subjects/Keywords: multilingual document clustering; document clustering; text mining

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

APA (6th Edition):

Liao, S. (2006). Feature Translation-based Multilingual Document Clustering Technique. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808106-220124

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):

Liao, Shan-Yu. “Feature Translation-based Multilingual Document Clustering Technique.” 2006. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808106-220124.

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

MLA Handbook (7th Edition):

Liao, Shan-Yu. “Feature Translation-based Multilingual Document Clustering Technique.” 2006. Web. 22 Mar 2019.

Vancouver:

Liao S. Feature Translation-based Multilingual Document Clustering Technique. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808106-220124.

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

Council of Science Editors:

Liao S. Feature Translation-based Multilingual Document Clustering Technique. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0808106-220124

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


Queensland University of Technology

10. De Vries, Christopher M. Document clustering algorithms, representations and evaluation for information retrieval.

Degree: 2014, Queensland University of Technology

 This thesis presents new methods for classification and thematic grouping of billions of web pages, at scales previously not achievable. This process is also known… (more)

Subjects/Keywords: document clustering; representations; evaluation; information retrieval; algorithms; clustering; hashing; signatures; efficiency; machine learning

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APA (6th Edition):

De Vries, C. M. (2014). Document clustering algorithms, representations and evaluation for information retrieval. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/75862/

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):

De Vries, Christopher M. “Document clustering algorithms, representations and evaluation for information retrieval.” 2014. Thesis, Queensland University of Technology. Accessed March 22, 2019. https://eprints.qut.edu.au/75862/.

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

MLA Handbook (7th Edition):

De Vries, Christopher M. “Document clustering algorithms, representations and evaluation for information retrieval.” 2014. Web. 22 Mar 2019.

Vancouver:

De Vries CM. Document clustering algorithms, representations and evaluation for information retrieval. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2019 Mar 22]. Available from: https://eprints.qut.edu.au/75862/.

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

Council of Science Editors:

De Vries CM. Document clustering algorithms, representations and evaluation for information retrieval. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/75862/

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


University of Alberta

11. Zhang, Xiaomin. Search Term Selection and Document Clustering for Query Suggestion.

Degree: MS, Department of Computing Science, 2011, University of Alberta

 In order to improve a user's query and help the user quickly satisfy his/her information need, most search engines provide query suggestions that are meant… (more)

Subjects/Keywords: query suggestion, document clustering, query search, search term selection.

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APA (6th Edition):

Zhang, X. (2011). Search Term Selection and Document Clustering for Query Suggestion. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/z603qz73q

Chicago Manual of Style (16th Edition):

Zhang, Xiaomin. “Search Term Selection and Document Clustering for Query Suggestion.” 2011. Masters Thesis, University of Alberta. Accessed March 22, 2019. https://era.library.ualberta.ca/files/z603qz73q.

MLA Handbook (7th Edition):

Zhang, Xiaomin. “Search Term Selection and Document Clustering for Query Suggestion.” 2011. Web. 22 Mar 2019.

Vancouver:

Zhang X. Search Term Selection and Document Clustering for Query Suggestion. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2019 Mar 22]. Available from: https://era.library.ualberta.ca/files/z603qz73q.

Council of Science Editors:

Zhang X. Search Term Selection and Document Clustering for Query Suggestion. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/z603qz73q


Penn State University

12. Yan, Su. SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL.

Degree: PhD, Information Sciences and Technology, 2010, Penn State University

Clustering is one of the most common data mining tasks, used frequently for data organization and analysis in various application domains. Traditional machine learning approaches… (more)

Subjects/Keywords: dimension reduction; clustering; semi-supervised learning; document analysis

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

APA (6th Edition):

Yan, S. (2010). SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11038

Chicago Manual of Style (16th Edition):

Yan, Su. “SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL.” 2010. Doctoral Dissertation, Penn State University. Accessed March 22, 2019. https://etda.libraries.psu.edu/catalog/11038.

MLA Handbook (7th Edition):

Yan, Su. “SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL.” 2010. Web. 22 Mar 2019.

Vancouver:

Yan S. SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Mar 22]. Available from: https://etda.libraries.psu.edu/catalog/11038.

Council of Science Editors:

Yan S. SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11038


University of Waterloo

13. Tabatabaei, Nasim. Detecting Weak Signals by Internet-Based Environmental Scanning.

Degree: 2011, University of Waterloo

 Firms in highly dynamic environments focusing on innovation in their products and services, often encounter elevated amounts of uncertainty regarding the future direction of technological… (more)

Subjects/Keywords: environmental scanning; foresight; weak signals; document clustering; CLUTO

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APA (6th Edition):

Tabatabaei, N. (2011). Detecting Weak Signals by Internet-Based Environmental Scanning. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6314

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):

Tabatabaei, Nasim. “Detecting Weak Signals by Internet-Based Environmental Scanning.” 2011. Thesis, University of Waterloo. Accessed March 22, 2019. http://hdl.handle.net/10012/6314.

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

MLA Handbook (7th Edition):

Tabatabaei, Nasim. “Detecting Weak Signals by Internet-Based Environmental Scanning.” 2011. Web. 22 Mar 2019.

Vancouver:

Tabatabaei N. Detecting Weak Signals by Internet-Based Environmental Scanning. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10012/6314.

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

Council of Science Editors:

Tabatabaei N. Detecting Weak Signals by Internet-Based Environmental Scanning. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/6314

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


Brigham Young University

14. Davis, Aaron Samuel. Bisecting Document Clustering Using Model-Based Methods.

Degree: MS, 2009, Brigham Young University

 We all have access to large collections of digital text documents, which are useful only if we can make sense of them all and distill… (more)

Subjects/Keywords: document clustering; text mining; model-based; Computer Sciences

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

APA (6th Edition):

Davis, A. S. (2009). Bisecting Document Clustering Using Model-Based Methods. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2937&context=etd

Chicago Manual of Style (16th Edition):

Davis, Aaron Samuel. “Bisecting Document Clustering Using Model-Based Methods.” 2009. Masters Thesis, Brigham Young University. Accessed March 22, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2937&context=etd.

MLA Handbook (7th Edition):

Davis, Aaron Samuel. “Bisecting Document Clustering Using Model-Based Methods.” 2009. Web. 22 Mar 2019.

Vancouver:

Davis AS. Bisecting Document Clustering Using Model-Based Methods. [Internet] [Masters thesis]. Brigham Young University; 2009. [cited 2019 Mar 22]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2937&context=etd.

Council of Science Editors:

Davis AS. Bisecting Document Clustering Using Model-Based Methods. [Masters Thesis]. Brigham Young University; 2009. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2937&context=etd


Michigan State University

15. Fodeh, Samah Jamal. Incorporating background knowledge in document clustering.

Degree: PhD, Dept. of Computer Science, 2010, Michigan State University

Subjects/Keywords: Document clustering; Categories (Philosophy)

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APA (6th Edition):

Fodeh, S. J. (2010). Incorporating background knowledge in document clustering. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:10347

Chicago Manual of Style (16th Edition):

Fodeh, Samah Jamal. “Incorporating background knowledge in document clustering.” 2010. Doctoral Dissertation, Michigan State University. Accessed March 22, 2019. http://etd.lib.msu.edu/islandora/object/etd:10347.

MLA Handbook (7th Edition):

Fodeh, Samah Jamal. “Incorporating background knowledge in document clustering.” 2010. Web. 22 Mar 2019.

Vancouver:

Fodeh SJ. Incorporating background knowledge in document clustering. [Internet] [Doctoral dissertation]. Michigan State University; 2010. [cited 2019 Mar 22]. Available from: http://etd.lib.msu.edu/islandora/object/etd:10347.

Council of Science Editors:

Fodeh SJ. Incorporating background knowledge in document clustering. [Doctoral Dissertation]. Michigan State University; 2010. Available from: http://etd.lib.msu.edu/islandora/object/etd:10347


NSYSU

16. Lee, Kuan-yi. Development of Personalized Document Clustering Technique for Accommodating Hierarchical Categorization Preferences.

Degree: Master, Information Management, 2006, NSYSU

 With the advances in information and networking technologies and the proliferation of e-commerce and knowledge management applications, individuals and organizations generate and acquire tremendous amount… (more)

Subjects/Keywords: Hierarchical document management; Personalized document clustering; Text mining; Personalization; Document clustering

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

APA (6th Edition):

Lee, K. (2006). Development of Personalized Document Clustering Technique for Accommodating Hierarchical Categorization Preferences. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727106-142824

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):

Lee, Kuan-yi. “Development of Personalized Document Clustering Technique for Accommodating Hierarchical Categorization Preferences.” 2006. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727106-142824.

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

MLA Handbook (7th Edition):

Lee, Kuan-yi. “Development of Personalized Document Clustering Technique for Accommodating Hierarchical Categorization Preferences.” 2006. Web. 22 Mar 2019.

Vancouver:

Lee K. Development of Personalized Document Clustering Technique for Accommodating Hierarchical Categorization Preferences. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727106-142824.

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

Council of Science Editors:

Lee K. Development of Personalized Document Clustering Technique for Accommodating Hierarchical Categorization Preferences. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727106-142824

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


NSYSU

17. Ting, Kang-Di. Clustering Articles in a Literature Digital Library Based on Content and Usage.

Degree: Master, Information Management, 2004, NSYSU

 Literature digital library is one of the most important resources to preserve civilized asset. To provide more effective and efficient information search, many systems are… (more)

Subjects/Keywords: Digital library; Document categorization; Usage clustering; Document clustering; Content-based clustering

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

APA (6th Edition):

Ting, K. (2004). Clustering Articles in a Literature Digital Library Based on Content and Usage. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810104-153712

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):

Ting, Kang-Di. “Clustering Articles in a Literature Digital Library Based on Content and Usage.” 2004. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810104-153712.

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

MLA Handbook (7th Edition):

Ting, Kang-Di. “Clustering Articles in a Literature Digital Library Based on Content and Usage.” 2004. Web. 22 Mar 2019.

Vancouver:

Ting K. Clustering Articles in a Literature Digital Library Based on Content and Usage. [Internet] [Thesis]. NSYSU; 2004. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810104-153712.

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

Council of Science Editors:

Ting K. Clustering Articles in a Literature Digital Library Based on Content and Usage. [Thesis]. NSYSU; 2004. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0810104-153712

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


NSYSU

18. Lin, Hao-hsiang. Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus.

Degree: Master, Information Management, 2006, NSYSU

 According to the context theory of classification, the document-clustering behaviors of individuals not only involve the attributes (including contents) of documents but also depend on… (more)

Subjects/Keywords: Personalized document clustering; Document clustering; Preference-based document clustering; Text mining; Hierarchical agglomerative clustering (HAC)

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

APA (6th Edition):

Lin, H. (2006). Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334

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

Chicago Manual of Style (16th Edition):

Lin, Hao-hsiang. “Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus.” 2006. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334.

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

MLA Handbook (7th Edition):

Lin, Hao-hsiang. “Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus.” 2006. Web. 22 Mar 2019.

Vancouver:

Lin H. Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334.

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

Council of Science Editors:

Lin H. Preference-Anchored Document Clustering Technique: Effects of Term Relationships and Thesaurus. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830106-155334

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


NSYSU

19. Huang, Tse-hsiu. An Ontology-Based Personalized Document Clustering Approach.

Degree: Master, Information Management, 2004, NSYSU

 With the proliferation of electronic commerce and knowledge economy environments, both persons and organizations increasingly have generated and consumed large amounts of online information, typically… (more)

Subjects/Keywords: Document clustering; Hierarchical agglomerative clustering; Ontology learning; Ontology; Personalized document clustering; Ontology-based document clustering

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

APA (6th Edition):

Huang, T. (2004). An Ontology-Based Personalized Document Clustering Approach. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940

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):

Huang, Tse-hsiu. “An Ontology-Based Personalized Document Clustering Approach.” 2004. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940.

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

MLA Handbook (7th Edition):

Huang, Tse-hsiu. “An Ontology-Based Personalized Document Clustering Approach.” 2004. Web. 22 Mar 2019.

Vancouver:

Huang T. An Ontology-Based Personalized Document Clustering Approach. [Internet] [Thesis]. NSYSU; 2004. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940.

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

Council of Science Editors:

Huang T. An Ontology-Based Personalized Document Clustering Approach. [Thesis]. NSYSU; 2004. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0805104-202940

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

20. Σπανάκης, Γεράσιμος. Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου.

Degree: 2012, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

 The rapid proliferation of digital text documents during the last years raises the need to create efficient organization and management systems. The textual content of… (more)

Subjects/Keywords: Σημασιολογική συσχέτιση; Αναπαράσταση εγγράφου; Ομαδοποίηση εγγράφων; Αυτό-οργανούμενοι χάρτες; Semantic relatedness; Document representation; Document clustering; Self-organizing maps

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

APA (6th Edition):

Σπανάκης, . . (2012). Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/28179

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):

Σπανάκης, Γεράσιμος. “Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου.” 2012. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed March 22, 2019. http://hdl.handle.net/10442/hedi/28179.

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

MLA Handbook (7th Edition):

Σπανάκης, Γεράσιμος. “Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου.” 2012. Web. 22 Mar 2019.

Vancouver:

Σπανάκης . Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10442/hedi/28179.

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

Council of Science Editors:

Σπανάκης . Ευφυείς τεχνικές σημασιολογικής ανάλυσης και αναζήτησης κειμένου. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. Available from: http://hdl.handle.net/10442/hedi/28179

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


Indian Institute of Science

21. Patel, Vishal. Near-Duplicate Detection Using Instance Level Constraints.

Degree: 2009, Indian Institute of Science

 For the task of near-duplicate document detection, comparison approaches based on bag-of-words used in information retrieval community are not sufficiently accurate. This work presents novel… (more)

Subjects/Keywords: Document Clustering - Artificial Intelligence; Latent Dirichlet Allocation; Information Retrieval; Near-Duplicate Detection; Constrained Clustering; Group LDA; Duplicate Bug Report Detection; Near-Duplicate Document Detection; Computer Science

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

APA (6th Edition):

Patel, V. (2009). Near-Duplicate Detection Using Instance Level Constraints. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1346

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):

Patel, Vishal. “Near-Duplicate Detection Using Instance Level Constraints.” 2009. Thesis, Indian Institute of Science. Accessed March 22, 2019. http://hdl.handle.net/2005/1346.

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

MLA Handbook (7th Edition):

Patel, Vishal. “Near-Duplicate Detection Using Instance Level Constraints.” 2009. Web. 22 Mar 2019.

Vancouver:

Patel V. Near-Duplicate Detection Using Instance Level Constraints. [Internet] [Thesis]. Indian Institute of Science; 2009. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/2005/1346.

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

Council of Science Editors:

Patel V. Near-Duplicate Detection Using Instance Level Constraints. [Thesis]. Indian Institute of Science; 2009. Available from: http://hdl.handle.net/2005/1346

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


Indian Institute of Science

22. Patel, Vishal. Near-Duplicate Detection Using Instance Level Constraints.

Degree: 2009, Indian Institute of Science

 For the task of near-duplicate document detection, comparison approaches based on bag-of-words used in information retrieval community are not sufficiently accurate. This work presents novel… (more)

Subjects/Keywords: Document Clustering - Artificial Intelligence; Latent Dirichlet Allocation; Information Retrieval; Near-Duplicate Detection; Constrained Clustering; Group LDA; Duplicate Bug Report Detection; Near-Duplicate Document Detection; Computer Science

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APA (6th Edition):

Patel, V. (2009). Near-Duplicate Detection Using Instance Level Constraints. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/1346 ; http://etd.ncsi.iisc.ernet.in/abstracts/1740/G23536-Abs.pdf

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):

Patel, Vishal. “Near-Duplicate Detection Using Instance Level Constraints.” 2009. Thesis, Indian Institute of Science. Accessed March 22, 2019. http://etd.iisc.ernet.in/handle/2005/1346 ; http://etd.ncsi.iisc.ernet.in/abstracts/1740/G23536-Abs.pdf.

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

MLA Handbook (7th Edition):

Patel, Vishal. “Near-Duplicate Detection Using Instance Level Constraints.” 2009. Web. 22 Mar 2019.

Vancouver:

Patel V. Near-Duplicate Detection Using Instance Level Constraints. [Internet] [Thesis]. Indian Institute of Science; 2009. [cited 2019 Mar 22]. Available from: http://etd.iisc.ernet.in/handle/2005/1346 ; http://etd.ncsi.iisc.ernet.in/abstracts/1740/G23536-Abs.pdf.

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

Council of Science Editors:

Patel V. Near-Duplicate Detection Using Instance Level Constraints. [Thesis]. Indian Institute of Science; 2009. Available from: http://etd.iisc.ernet.in/handle/2005/1346 ; http://etd.ncsi.iisc.ernet.in/abstracts/1740/G23536-Abs.pdf

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


University of Lethbridge

23. University of Lethbridge. Faculty of Arts and Science. Multi-document summarization based on document clustering and neural sentence fusion .

Degree: 2018, University of Lethbridge

 In this thesis, we have approached a technique for tackling abstractive text summarization tasks with state-of-the-art results. We have proposed a novel method to improve… (more)

Subjects/Keywords: automatic text summarization; sentence fusion; mutli document summarization; text clustering; abstractive text summarization; tensor2tensor; Document clustering; Text processing (Computer science); Automatic abstracting; Electronic information resources  – Abstracting and indexing; Dissertations, Academic

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APA (6th Edition):

Science, U. o. L. F. o. A. a. (2018). Multi-document summarization based on document clustering and neural sentence fusion . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/5294

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. “Multi-document summarization based on document clustering and neural sentence fusion .” 2018. Thesis, University of Lethbridge. Accessed March 22, 2019. http://hdl.handle.net/10133/5294.

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. “Multi-document summarization based on document clustering and neural sentence fusion .” 2018. Web. 22 Mar 2019.

Vancouver:

Science UoLFoAa. Multi-document summarization based on document clustering and neural sentence fusion . [Internet] [Thesis]. University of Lethbridge; 2018. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10133/5294.

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. Multi-document summarization based on document clustering and neural sentence fusion . [Thesis]. University of Lethbridge; 2018. Available from: http://hdl.handle.net/10133/5294

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


University of Kentucky

24. Murugesan, Keerthiram. CLUSTER-BASED TERM WEIGHTING AND DOCUMENT RANKING MODELS.

Degree: 2011, University of Kentucky

 A term weighting scheme measures the importance of a term in a collection. A document ranking model uses these term weights to find the rank… (more)

Subjects/Keywords: Term weighting scheme; Document Clustering; Information Retrieval; Page Ranking; Data Mining; Computer Sciences

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

APA (6th Edition):

Murugesan, K. (2011). CLUSTER-BASED TERM WEIGHTING AND DOCUMENT RANKING MODELS. (Masters Thesis). University of Kentucky. Retrieved from http://uknowledge.uky.edu/gradschool_theses/651

Chicago Manual of Style (16th Edition):

Murugesan, Keerthiram. “CLUSTER-BASED TERM WEIGHTING AND DOCUMENT RANKING MODELS.” 2011. Masters Thesis, University of Kentucky. Accessed March 22, 2019. http://uknowledge.uky.edu/gradschool_theses/651.

MLA Handbook (7th Edition):

Murugesan, Keerthiram. “CLUSTER-BASED TERM WEIGHTING AND DOCUMENT RANKING MODELS.” 2011. Web. 22 Mar 2019.

Vancouver:

Murugesan K. CLUSTER-BASED TERM WEIGHTING AND DOCUMENT RANKING MODELS. [Internet] [Masters thesis]. University of Kentucky; 2011. [cited 2019 Mar 22]. Available from: http://uknowledge.uky.edu/gradschool_theses/651.

Council of Science Editors:

Murugesan K. CLUSTER-BASED TERM WEIGHTING AND DOCUMENT RANKING MODELS. [Masters Thesis]. University of Kentucky; 2011. Available from: http://uknowledge.uky.edu/gradschool_theses/651

25. Marcacini, Ricardo Marcondes. Aprendizado não supervisionado de hierarquias de tópicos a partir de coleções textuais dinâmicas.

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

A necessidade de extrair conhecimento útil e inovador de grandes massas de dados textuais, tem motivado cada vez mais a investigação de métodos para Mineração… (more)

Subjects/Keywords: Agrupamento de documentos; Document clustering; Hierarquias de tópicos; Mineração de textos; Text mining; Topic hierarchies

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

APA (6th Edition):

Marcacini, R. M. (2011). Aprendizado não supervisionado de hierarquias de tópicos a partir de coleções textuais dinâmicas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28072011-163026/ ;

Chicago Manual of Style (16th Edition):

Marcacini, Ricardo Marcondes. “Aprendizado não supervisionado de hierarquias de tópicos a partir de coleções textuais dinâmicas.” 2011. Masters Thesis, University of São Paulo. Accessed March 22, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28072011-163026/ ;.

MLA Handbook (7th Edition):

Marcacini, Ricardo Marcondes. “Aprendizado não supervisionado de hierarquias de tópicos a partir de coleções textuais dinâmicas.” 2011. Web. 22 Mar 2019.

Vancouver:

Marcacini RM. Aprendizado não supervisionado de hierarquias de tópicos a partir de coleções textuais dinâmicas. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2019 Mar 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28072011-163026/ ;.

Council of Science Editors:

Marcacini RM. Aprendizado não supervisionado de hierarquias de tópicos a partir de coleções textuais dinâmicas. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-28072011-163026/ ;


Wright State University

26. Li, Yanjun. High Performance Text Document Clustering.

Degree: PhD, Computer Science and Engineering PhD, 2007, Wright State University

  Data mining, also known as knowledge discovery in database (KDD), is the process to discover interesting unknown knowledge from a large amount of data.… (more)

Subjects/Keywords: Document Clustering; Text Mining; K-means; Bisecting K-means; Algorithm; Performance Analysis.

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

APA (6th Edition):

Li, Y. (2007). High Performance Text Document Clustering. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1181005422

Chicago Manual of Style (16th Edition):

Li, Yanjun. “High Performance Text Document Clustering.” 2007. Doctoral Dissertation, Wright State University. Accessed March 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1181005422.

MLA Handbook (7th Edition):

Li, Yanjun. “High Performance Text Document Clustering.” 2007. Web. 22 Mar 2019.

Vancouver:

Li Y. High Performance Text Document Clustering. [Internet] [Doctoral dissertation]. Wright State University; 2007. [cited 2019 Mar 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1181005422.

Council of Science Editors:

Li Y. High Performance Text Document Clustering. [Doctoral Dissertation]. Wright State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1181005422


Penn State University

27. Huang, Jian. A Tale of Two Paradigms: Disambiguating Extracted Entities with Applications to a Digital Library and the Web.

Degree: PhD, Information Sciences and Technology, 2010, Penn State University

 With the increasing wealth of information on the Web, information integration is ubiquitous as the same real-world entity may appear in a variety of forms… (more)

Subjects/Keywords: entity resolution; cross document coreference; author name disambiguation; clustering; social network analysis

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

APA (6th Edition):

Huang, J. (2010). A Tale of Two Paradigms: Disambiguating Extracted Entities with Applications to a Digital Library and the Web. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10561

Chicago Manual of Style (16th Edition):

Huang, Jian. “A Tale of Two Paradigms: Disambiguating Extracted Entities with Applications to a Digital Library and the Web.” 2010. Doctoral Dissertation, Penn State University. Accessed March 22, 2019. https://etda.libraries.psu.edu/catalog/10561.

MLA Handbook (7th Edition):

Huang, Jian. “A Tale of Two Paradigms: Disambiguating Extracted Entities with Applications to a Digital Library and the Web.” 2010. Web. 22 Mar 2019.

Vancouver:

Huang J. A Tale of Two Paradigms: Disambiguating Extracted Entities with Applications to a Digital Library and the Web. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Mar 22]. Available from: https://etda.libraries.psu.edu/catalog/10561.

Council of Science Editors:

Huang J. A Tale of Two Paradigms: Disambiguating Extracted Entities with Applications to a Digital Library and the Web. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10561


IUPUI

28. Shah, Setu. Biomedical concept association and clustering using word embeddings.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Biomedical data exists in the form of journal articles, research studies, electronic health records, care guidelines, etc. While text mining… (more)

Subjects/Keywords: Artificial intelligence; Natural language processing; Document clustering; Preventive care; Word embeddings; Biomedical science

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

APA (6th Edition):

Shah, S. (2018). Biomedical concept association and clustering using word embeddings. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/17918

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):

Shah, Setu. “Biomedical concept association and clustering using word embeddings.” 2018. Thesis, IUPUI. Accessed March 22, 2019. http://hdl.handle.net/1805/17918.

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

MLA Handbook (7th Edition):

Shah, Setu. “Biomedical concept association and clustering using word embeddings.” 2018. Web. 22 Mar 2019.

Vancouver:

Shah S. Biomedical concept association and clustering using word embeddings. [Internet] [Thesis]. IUPUI; 2018. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1805/17918.

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

Council of Science Editors:

Shah S. Biomedical concept association and clustering using word embeddings. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/17918

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


NSYSU

29. Lin, Chia-min. Clustering Multilingual Documents: A Latent Semantic Indexing Based Approach.

Degree: Master, Information Management, 2006, NSYSU

Document clustering automatically organizes a document collection into distinct groups of similar documents on the basis of their contents. Most of existing document clustering techniques… (more)

Subjects/Keywords: Document clustering; Latent semantic analysis; Latent semantic indexing; Text mining; Document management; Multilingual document clustering

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

APA (6th Edition):

Lin, C. (2006). Clustering Multilingual Documents: A Latent Semantic Indexing Based Approach. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0209106-024252

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

Chicago Manual of Style (16th Edition):

Lin, Chia-min. “Clustering Multilingual Documents: A Latent Semantic Indexing Based Approach.” 2006. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0209106-024252.

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

MLA Handbook (7th Edition):

Lin, Chia-min. “Clustering Multilingual Documents: A Latent Semantic Indexing Based Approach.” 2006. Web. 22 Mar 2019.

Vancouver:

Lin C. Clustering Multilingual Documents: A Latent Semantic Indexing Based Approach. [Internet] [Thesis]. NSYSU; 2006. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0209106-024252.

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

Council of Science Editors:

Lin C. Clustering Multilingual Documents: A Latent Semantic Indexing Based Approach. [Thesis]. NSYSU; 2006. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0209106-024252

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


NSYSU

30. Wang, Shin. Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management.

Degree: Master, Information Management, 2005, NSYSU

 Effective knowledge management of proliferating volume of documents within a knowledge repository is vital to knowledge sharing, reuse, and assimilation. In order to facilitate accesses… (more)

Subjects/Keywords: Document clustering; Hierarchical agglomerative clustering (HAC); Knowledge map; Preference-based document clustering; Text mining

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

APA (6th Edition):

Wang, S. (2005). Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923

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, Shin. “Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management.” 2005. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923.

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

MLA Handbook (7th Edition):

Wang, Shin. “Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management.” 2005. Web. 22 Mar 2019.

Vancouver:

Wang S. Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management. [Internet] [Thesis]. NSYSU; 2005. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923.

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

Council of Science Editors:

Wang S. Preference-Anchored Document clustering Technique for Supporting Effective Knowledge and Document Management. [Thesis]. NSYSU; 2005. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803105-150923

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

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