Term indexing

Results: 207



#Item
81Research plan 1. What information do I need? Title/topic: What are the concepts/ ideas/ themes that make up my topic? Think of synonyms, alternative spellings and variant forms of words.

Research plan 1. What information do I need? Title/topic: What are the concepts/ ideas/ themes that make up my topic? Think of synonyms, alternative spellings and variant forms of words.

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Source URL: sydney.edu.au

Language: English - Date: 2006-12-11 11:22:22
82Indexing by Latent Semantic Analysis  Scott Deerwester Center for Information  and Language

Indexing by Latent Semantic Analysis Scott Deerwester Center for Information and Language

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Source URL: www.cs.bham.ac.uk

Language: English - Date: 2006-11-27 11:02:15
83GLOBAL RANKING OF AUTHORS PUBLISHING IN ANDROLOGY OR MALE INFERTILITY Source: SCOPUS database (www.scopus.com) Keywords: Andrology or Male Infertility Documents scanned: 73,647 Search Field: All Fields

GLOBAL RANKING OF AUTHORS PUBLISHING IN ANDROLOGY OR MALE INFERTILITY Source: SCOPUS database (www.scopus.com) Keywords: Andrology or Male Infertility Documents scanned: 73,647 Search Field: All Fields

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Source URL: www.clevelandclinic.org

Language: English - Date: 2014-01-16 01:57:28
84Indexing by Latent Semantic Analysis  Scott Deerwester Graduate Library School University of Chicago Chicago, IL 60637

Indexing by Latent Semantic Analysis Scott Deerwester Graduate Library School University of Chicago Chicago, IL 60637

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Source URL: lsa.colorado.edu

Language: English - Date: 2010-11-22 17:12:35
85LEO-II - A Cooperative Automatic Theorem Prover for Classical Higher-Order Logic⋆ Christoph Benzm¨ uller1 , Lawrence C. Paulson2 , Frank Theiss1 , and Arnaud Fietzke3 1

LEO-II - A Cooperative Automatic Theorem Prover for Classical Higher-Order Logic⋆ Christoph Benzm¨ uller1 , Lawrence C. Paulson2 , Frank Theiss1 , and Arnaud Fietzke3 1

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Source URL: www.boldsolutions.de

Language: English - Date: 2011-03-22 14:11:27
86WWW[removed]Track: Semantic Web  Session: Semantic Web and Web 2.0 P-TAG: Large Scale Automatic Generation of Personalized Annotation TAGs for the Web

WWW[removed]Track: Semantic Web Session: Semantic Web and Web 2.0 P-TAG: Large Scale Automatic Generation of Personalized Annotation TAGs for the Web

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Source URL: www.siegfried-handschuh.net

Language: English - Date: 2007-09-06 10:37:38
87Term Indexing for the LEO-II Prover Frank Theiß1 Christoph Benzm¨ uller2 1 FR Informatik, Universit¨at des Saarlandes, Saarbr¨

Term Indexing for the LEO-II Prover Frank Theiß1 Christoph Benzm¨ uller2 1 FR Informatik, Universit¨at des Saarlandes, Saarbr¨

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Source URL: www.boldsolutions.de

Language: English - Date: 2011-03-22 14:12:16
88Microsoft Word - Combination of FST and CN Search in Spoken Term Detection-CameraReady

Microsoft Word - Combination of FST and CN Search in Spoken Term Detection-CameraReady

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Source URL: www.cs.cmu.edu

Language: English - Date: 2014-06-25 10:07:19
89Efficient and Secure Ranked Multi-Keyword Search on Encrypted Cloud Data Cengiz Örencik Erkay Sava¸s

Efficient and Secure Ranked Multi-Keyword Search on Encrypted Cloud Data Cengiz Örencik Erkay Sava¸s

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Source URL: www.edbt.org

Language: English - Date: 2012-02-02 00:38:06
90Research plan 1. What information do I need? Title/topic: What are the concepts/ ideas/ themes that make up my topic? Think of synonyms, alternative spellings and variant forms of words.

Research plan 1. What information do I need? Title/topic: What are the concepts/ ideas/ themes that make up my topic? Think of synonyms, alternative spellings and variant forms of words.

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Source URL: www.library.usyd.edu.au

Language: English - Date: 2006-12-11 11:22:22