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1	A Novel Near-Infrared Spectroscopy Based Spatiotemporal Cognition Study of the Human Brain Using Clustering
	Abdullah, Ahsan; Khan, Imtiaz Hussain; Basuhail, Abdullah. - : BMC, 2015
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2	Extraction automatique et visualisation des thèmes abordés dans des résumés de mémoires et de thèses en anthropologie au Québec, de 1985 à 2009
	Samson, Anne-Renée. - 2014
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3	Extraction automatique et visualisation des thèmes abordés dans des résumés de mémoires et de thèses en anthropologie au Québec, de 1985 à 2009
	Samson, Anne-Renée. - 2013
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4	Using semantic graphs and word sense disambiguation techniques to improve text summarization ; Uso de grafos semánticos y de técnicas de desambiguación en la generación automática de resúmenes
	Plaza Morales, Laura; Díaz Esteban, Alberto. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2011
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5	Concept Mining: A Conceptual Understanding based Approach
	Shehata, Shady. - 2009
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6	Concept Mining: A Conceptual Understanding based Approach
	Shehata, Shady. - : University of Waterloo, 2009
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7	Clustering methodologies for identifying country core competencies
	Kostoff, Ronald N.; del Rio, J. Antonio; Cortes, Héctor D.; Smith, Charles; Smith, Andrew; Wagner, Caroline; Leydesdorff, Loet; Karypis, George; Malpohl, Guido; Tshiteya, Rene. - : Sage Publications Ltd, 2007
	Abstract: The technical structure of the Mexican science and technology literature was determined. A representative database of technical articles was extracted from the Science Citation Index for the year 2002, with each article containing at least one author with a Mexican address. Many different manual and statistical clustering methods were used to identify the structure of the technical literature (especially the science and technology core competencies), and to evaluate the strengths and weaknesses of each technique. Each method is summarized, and its results presented.
	Keyword: 08 Information and Computing Sciences; bibliometrics; CLUTO; computational linguistics; Computer Science; concept clustering; core competencies; data compression; Database Tomography; document clustering; factor analysis; greedy string tiling; Information Science & Library Science; Information Systems; Leximancer; Mexico; network analysis; Programs; research evaluation; Roadmaps; science and technology; Technical Intelligence; Technology; Trends; Words
	URL: https://espace.library.uq.edu.au/view/UQ:128070
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8	The Structure and Infrastructure of the Finnish Research Literature
	Kostoff, Ronald N.; Tshiteya, Rene; Bowles, Christine A....
	In: DTIC (2006)
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9	The structure and infrastructure of Mexico's science and technology
	Kostoff, Ronald N.; del Rio, J. Antonio; Cortes, Héctor D.. - : Elsevier Science Inc, 2005
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10	Context-Dependent Conflation, Text Filtering and Clustering
	Kostoff, Ronald N.; Block, Joel A.
	In: DTIC AND NTIS (2004)
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11	Finding the Story - Broader Applicability of Semantics and Discourse for Hypermedia Generation
	Lloyd Rutledge; Martin Alberink; Rogier Brussee...
	In: http://www.ht03.org/papers/pdfs/8.pdf (2003)
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12	Finding the Story - Broader Applicability of Semantics and Discourse for Hypermedia Generation
	Lloyd Rutledge; Martin Alberink; Rogier Brussee...
	In: http://www.cwi.nl/~media/publications/ht03.pdf (2003)
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13	Science and Technology Text Mining: Mexico Core Competencies
	Kostoff, Ronald N.; del Rio, J. A.; Cortes, Hector D....
	In: DTIC AND NTIS (2002)
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14	CAA of Short Non-MCQ Answers
	David Callear; Jenny Jerrams-Smith; Victor Soh...
	In: http://www.lboro.ac.uk/service/ltd/flicaa/conf2001/pdfs/k3.pdf (2001)
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15	Medical Data Mining on the Internet: Research on a Cancer Information System
	Houston, Andrea L.; Chen, Hsinchun; Hubbard, Susan M....
	In: DTIC (1999)
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16	A Feature Selection Methods Based on Concept Extraction and SOM Text Clustering Analysis
	In: http://paper.ijcsns.org/07_book/200601/200601A04.pdf
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17	A Feature Selection Method Based on Concept Extraction and SOM Text Clustering Analysis
	In: http://www.cs.nyu.edu/~liaoss/Site/publications/2006_Jiang_IJCSNS.pdf
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18	Abstract- First, Similarity Of Fuzzy Ontology Generation For Semantic Web, Fuzzy Formal Concept Analysis incorporates
	G. Umamaheswara Rao; K. V. Subba Raju; K. Srikanth
	In: http://www.ijcsit.com/docs/Volume%203/vol3Issue4/ijcsit2012030471.pdf
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