Association Rule Mining for Knowledge Discovery from Web
LI Ying-ji
Abstract
LI Ying-ji
Abstract
A new topic-specific association rules mining algorithm is presented. A new concept called association envisaging is presented to mine the implied association rule. The experiments show that it is effective to automatic acquire topic-specific knowledge from Web via the algorithm.
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A new topic-specific association rules mining algorithm is presented. A new concept called association envisaging is presented to mine the implied association rule. The experiments show that it is effective to automatic acquire topic-specific knowledge from Web via the algorithm.
Key concepts: Association rule learning, Computer science, K-optimal pattern discovery, Knowledge extraction, Association (psychology), Data mining, Web mining, Information retrieval