Combining subclassifiers in text categorization : A DST-based solution and a case study

Journal article

Kanoksri SARINNAPAKORN and Miroslav KUBAT

IEEE transactions on knowledge and data engineering, Vol.19(12), pp.1638-1651

2007

Abstract

Data processing. List processing. Character string processing

Speech and sound recognition and synthesis. Linguistics

Memory organisation. Data processing

Exact sciences and technology

Applied sciences

Software

Artificial intelligence

Computer science; control theory; systems

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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; Computer Science, Information Systems; Engineering, Electrical & Electronic
ESI research areas: Engineering

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Title: Combining subclassifiers in text categorization : A DST-based solution and a case study
Creators: Kanoksri SARINNAPAKORN - Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, MCA 406, Miami, FL 33146, United States
Miroslav KUBAT - Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, MCA 406, Miami, FL 33146, United States
Publication Details: IEEE transactions on knowledge and data engineering, Vol.19(12), pp.1638-1651
Publisher: IEEE Computer Society; New York, NY
Academic Unit: College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031578579902976