Irrelevant attributes and imbalanced classes in multi-label text-categorization domains

Journal article

Peer reviewed

Sareewan Dendamrongvit, Peerapon Vateekul and Miroslav Kubat

Intelligent data analysis, Vol.15(6), pp.843-859

2011-11-08

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Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.61 Artificial Intelligence & Machine Learning; 4.61.145 Feature Selection
Web Of Science research areas: Computer Science, Artificial Intelligence
ESI research areas: Computer Science

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Title: Irrelevant attributes and imbalanced classes in multi-label text-categorization domains
Creators: Sareewan Dendamrongvit - Department of Electrical & Computer Engineering, University of Miami, Coral Gables, FL, USA
Peerapon Vateekul - Department of Electrical & Computer Engineering, University of Miami, Coral Gables, FL, USA
Miroslav Kubat - Department of Electrical & Computer Engineering, University of Miami, Coral Gables, FL, USA
Publication Details: Intelligent data analysis, Vol.15(6), pp.843-859
Academic Unit: College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031576430202976