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Review of association rule mining algorithm in data mining

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成果类型:
期刊论文、会议论文
作者:
XU Chi;ZHANG Wen Fang
作者机构:
[XU Chi] Network Center, Hunan City University, Yiyang, China
[ZHANG Wen Fang] Architecture and Urban Planning School, Hunan City University, Yiyang, China
语种:
英文
关键词:
data mining;association rules;frequent itemsets;frequent patterns
期刊:
2011 IEEE 3rd International Conference on Communication Software and Networks
年:
2011
页码:
512-516
会议名称:
2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)
会议论文集名称:
2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)论文集
会议时间:
2011-05-13
会议地点:
西安
会议赞助商:
IEEE计算智能协会大连专委会
机构署名:
本校为第一机构
摘要:
With the database technology, artificial intelligence and mathematical statistics the development of technology, database data mining technology arises at the historic moment. This paper presented related formal definitions of association rules and the basic algorithm for association rules mining in data streams. Based on systematic investigation of association rules mining researches on streams data, analyzed issues and how they were resolved in current literatures. Also ...

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