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A Fast Distributed Algorithm for Association Rule Mining Based on Binary Coding Mapping Relation
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作者 CHEN Geng NI Wei-wei +1 位作者 ZHU Yu-quan SUN Zhi-hui 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第1期27-30,共4页
Association rule mining is an important issue in data mining. The paper proposed an binary system based method to generate candidate frequent itemsets and corresponding supporting counts efficiently, which needs only ... Association rule mining is an important issue in data mining. The paper proposed an binary system based method to generate candidate frequent itemsets and corresponding supporting counts efficiently, which needs only some operations such as "and", "or" and "xor". Applying this idea in the existed distributed association rule mining al gorithm FDM, the improved algorithm BFDM is proposed. The theoretical analysis and experiment testify that BFDM is effective and efficient. 展开更多
关键词 frequent itemsets distributed association rule mining relation of itemsets-binary data
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