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Incrementally Exploiting Sentential Association for Email Classification
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作者 李曲 何玉 +1 位作者 冯剑琳 冯玉才 《Journal of Southwest Jiaotong University(English Edition)》 2006年第2期129-134,共6页
A novel association-based algorithm EmailinClass is proposed for incremental Email classification. In view of the fact that the basic semantic unit in an Email is actually a sentence, and the words within the same sen... A novel association-based algorithm EmailinClass is proposed for incremental Email classification. In view of the fact that the basic semantic unit in an Email is actually a sentence, and the words within the same sentence are typically more semantically related than the words that just appear in the same Email, EmailInClass views a sentence rather than an Email as a transaction. Extensive experiments conducted on benchmark corpora Enron reveal that the effectiveness of EmallInClass is superior to the non-incremental alternatives such as NalveBayes and SAT-MOD. In addition, the classification rules generated by EroaillnClass are human readable and revisable, 展开更多
关键词 Document Requent itemset category frequent itemset MODFIT heuristic category prefix-tree Incremental classification
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