A comparative study on statistical machine learning algorithms and thresholding strategies for automatic text categorization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2417, Issue , 2002, Pages 444-453

  Lee, Kang Hyuk ^a   Kay, Judy ^a   Kang, Byeong Ho ^b   Rosebrock, Uwe ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF TASMANIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; NEAREST NEIGHBOR SEARCH; TEXT PROCESSING;

AUTOMATIC TEXT CATEGORIZATION; COMPARATIVE STUDIES; IMPROVE PERFORMANCE; NEW APPROACHES; REUTERS-21578; STATISTICAL MACHINE LEARNING; TEXT CATEGORIZATION; THRESHOLDING TECHNIQUES;

LEARNING ALGORITHMS;

EID: 84947929366     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45683-x_48     Document Type: Conference Paper

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