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A new text categorization technique using distributional clustering and learning logic

Author
AL-MUBAID, Hisham1 ; UMAIR, Syed A1
[1] University of Houston-Clear Lake, 2700 Bay Area Blvd., Box 40, Houston, TX 77058, United States
Source

IEEE transactions on knowledge and data engineering. 2006, Vol 18, Num 9, pp 1156-1165, 10 p ; ref : 30 ref

ISSN
1041-4347
Scientific domain
Control theory, operational research; Computer science; Psychology, psychopathology, psychiatry
Publisher
IEEE Computer Society, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Text categorization feature selection machine learning
Keyword (fr)
Analyse contenu Bibliothèque électronique Catégorisation Document électronique Linguistique Recherche information Texte Apprentissage machine Sélection forme
Keyword (en)
Content analysis Electronic library Categorization Electronic document Linguistics Information retrieval Text
Keyword (es)
Análisis contenido Biblioteca electronica Categorización Documento electrónico Linguística Búsqueda información Texto
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C04 Speech and sound recognition and synthesis. Linguistics

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18023246

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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