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Research Associate
INRA
Sciences and Society Laboratory UR1326, IFRIS Cortext Group
Statistical Learning from Texts for Concept Extraction from a Domain. Application to textual Information Filtering
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Description
Title : Statistical Learning from Texts for Concept Extraction from a Domain. Application to textual Information Filtering
Author(s) : Turenne N.
Keywords : data mining
Subject : unspecified
Area : Computer Science
Language : English
Year : 2000
University : University of Strasbourg
Author(s) : Turenne N.
Keywords : data mining
Subject : unspecified
Area : Computer Science
Language : English
Year : 2000
| Affiliations : | INRA |
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Nicolas's Peer Evaluation activity
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- FPeer Evaluation, Publisher, Peer Evaluation.
| Downloads | 1063 |
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| Views | 14 |
- 5Statistical Learning from Texts for Concept Extraction from a Domain. Application to textual Information Filtering
- 2svcR: a package for Support Vector Clustering improved with Geometric Hashing. Application to Lexical Pattern Discovery.
- 1European Meeting on Cybernetics and Systems Research (EMCSR), Vienne (Autriche), 2002 Bayesian Discriminant Analysis for Lexical Semantic Tagging
- 1Data Mining, a Tool for Systems Biology or a Systems Biology Tool
- 1Modelling Noun-Phrase Dynamics in Specialized Text Collections
- 1Detection of Transcription Factors by Gene Ranking using Pfam and Text Databases
- 1Duplicate Detection with Efficient Language Models for Automatic Bibliographic Heteregoneous Data Integration
- 1A Table-Binning Approach for Visualising the Past
- 1On a Possible Similarity between Gene and Semantic Networks
| Followed by | 1 |
- FHabiba Hassan Wassef, Senior professional, Independent international expert, United Nations, WHO, National Coordinator for the 7th European Framework Research Programme, National Research Center in Cairo, Egypt.
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