关键词: 文本分类 体裁模式 关联规则

Abstract:

This paper gives a research on pattern discovery of Chinese web page genre based on association rules. Using a linked list structure, the set of documents will be converted to a transaction database which is applied to mining association rules, and ensure the word items of the transaction database are arranged by the order of the text. An apriori association rules mining algorithm is implemented. The results of experiment show that it is more efficient for some genre pattern discovery.

Key words: text classification;genre pattern;association rule