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Volumn , Issue , 2003, Pages 336-341
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Using association features to enhance the performance of Naïve Bayes text classifier
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Author keywords
Classification tree analysis; Computer science; Data mining; Decision trees; Feature extraction; Information analysis; Itemsets; Space technology; Text categorization; Text mining
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Indexed keywords
ARTIFICIAL INTELLIGENCE;
COMPUTER SCIENCE;
DATA MINING;
DECISION TREES;
FEATURE EXTRACTION;
INFORMATION ANALYSIS;
SODIUM;
TEXT PROCESSING;
TREES (MATHEMATICS);
CLASSIFICATION-TREE ANALYSIS;
ITEM SETS;
SPACE TECHNOLOGIES;
TEXT CATEGORIZATION;
TEXT MINING;
CLASSIFICATION (OF INFORMATION);
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EID: 34247347053
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICCIMA.2003.1238148 Document Type: Conference Paper |
Times cited : (6)
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References (8)
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