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Document clustering
Results: 236

#	Item
181	Using Hierarchical Clustering and Summarisation Approaches for Web Retrieval: Glasgow at the TREC 2002 Interactive Track Richard Osdin, Iadh Ounis and Ryen W. White Department of Computing Science University of Glasgow, Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2003-02-13 11:58:23 Statistics Relevance Cluster analysis Text Retrieval Conference Hierarchical clustering Computer cluster Precision and recall Document retrieval Human–computer information retrieval Information science Information retrieval Science
182	wwwTextQuest: A Biomedical Text Mining Suite for Concept Discovery Nikolaos Papanikolaou1,2+, Evangelos Pafilis2+, Stavros Nikolaou1, Ioannis Iliopoulos2, Vasilis Promponas1 1 Bioinformatics Research Laboratory, Depart Add to Reading List Source URL: epafilis.info Language: English - Date: 2010-09-27 06:24:42 Data analysis Knowledge National Institutes of Health Bibliographic databases Bioinformatics Biomedical text mining Cluster analysis Document clustering MEDLINE Statistics Science Data mining
183	A Discriminative Latent Variable Model for Online Clustering Rajhans Samdani, Google Research Kai-Wei Chang, University of Illinois Dan Roth, University of Illinois Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Data analysis Data mining Geostatistics Correlation clustering Expectation–maximization algorithm Document clustering Machine learning Statistics Multivariate statistics Cluster analysis
184	Name Discrimination by Clustering Similar Contexts Ted Pedersen1 , Amruta Purandare2 , and Anagha Kulkarni1 1 2 Add to Reading List Source URL: www.d.umn.edu Language: English - Date: 2004-11-16 15:10:21 Linguistics Word-sense induction Latent semantic analysis Latent semantic indexing Singular value decomposition Word-sense disambiguation Cluster analysis Bigram Document-term matrix Natural language processing Science Algebra
185	Supplementary file: AverageExplorer: Interactive Exploration and Alignment of Visual Data Collections In this supplementary document, we present additional results that we could not fit in the main paper. Please refer to Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-08-18 18:51:55 K-means clustering Image processing Jason Salavon Segmentation
186	INTERACTIVE INFORMATION ORGANIZATION: TECHNIQUES AND EVALUATION A Dissertation Presented by ANTON LEUSKI Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Information Relevance feedback Relevance Precision and recall Document clustering Cluster analysis Query expansion Ranking Human–computer information retrieval Information science Information retrieval Science
187	CMIC@TREC-2009: Relevance Feedback Track Kareem Darwish, Ahmed El-Deeb Cairo Microsoft Innovation Center (CMIC) Bldg. B115, Smart Village, Km. 28 Cairo-Alexandria Desert Rd., Abou Rawash, Egypt Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2010-02-03 09:46:20 Science Cluster analysis Document clustering Relevance feedback Relevance DBSCAN Hierarchical clustering Precision and recall Query expansion Information science Statistics Information retrieval
188	Lighthouse: Showing the Way to Relevant Information Anton Leuski and James Allan Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts Amherst, MA[removed]USA Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Relevance feedback Document clustering Relevance Document retrieval Precision and recall Search engine indexing Samuel Adams Text Retrieval Conference Information science Information retrieval Science
189	Cross-Lingual CSTRD: English Access to Hindi Information ANTON LEUSKI, CHIN-YEW LIN, LIANG ZHOU, ULRICH GERMANN, FRANZ JOSEF OCH, and EDUARD HOVY Information Sciences Institute, University of Southern California Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Natural language processing Multi-document summarization Automatic summarization Relevance Search engine indexing Cluster analysis Full text search Cross-language information retrieval Document clustering Information science Information retrieval Science
190	An Evaluation of Techniques for Clustering Search Results1 Anton V. Leouski and W. Bruce Croft Computer Science Department University of Massachusetts at Amherst Amherst, MA 01003 Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2010-04-15 22:00:00 Science Cluster analysis Relevance Document clustering Hierarchical clustering Tf*idf Precision and recall Search engine indexing Consensus clustering Information science Statistics Information retrieval

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