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题名: Laws on Support Counts of Apriori Algorithm Candidates
作者: Zhou HY(周焕银) ; Liu JS(刘金生)
作者部门: 机器人学研究室
会议名称: 1st IITA International Joint Conference on Artificial Intelligence
会议日期: April 25-May 26, 2009
会议地点: Hainan Isl, China
会议主办者: IITA, Engn Technol Press, IEEE SMC TC Educ Technol & Training, Intelligent Informat Technol Applicat Res Assoc, Wuhan Inst Technol, Huazhong Normal Univ
会议录: FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS
会议录出版者: IEEE COMPUTER SOC
会议录出版地: LOS ALAMITOS
出版日期: 2009
页码: 120-123
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-0-7695-3615-6
关键词: A-Priori algorithm ; associational rule ; constant on fix item support count ; independent support count
摘要: This paper proposes three novel laws for finding useful candidates in database and preventing useless candidates by researching frequent itemset support. Some new concepts are introduced so as to explain these three laws. For example, independent itemset and support count, which can effectively avoid losing any interest associational rules during pruning, are introduced. In this paper, firstly, some key definitions on these approaches are presented such as support count, constant support count on fixed item sets then three novel approaches are detailed. Secondly, demonstrations and applications on these approaches are presented. The application of these approaches is used to test significances of these laws by an example which proves that these novel approaches can more efficiently reduce redundant candidates than A-Priori algorithm.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8757
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
周焕银; 刘金生.Laws on Support Counts of Apriori Algorithm Candidates.见:IEEE COMPUTER SOC.FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS,LOS ALAMITOS,2009,120-123
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