[Tan, Jun; Yu, Shao-jun] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
通讯机构：
[Tan, Jun] C
Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
语种：
中文
关键词：
anti-monotonicity;weighted association rules;weighted support;Apriori algorithm
期刊：
2011 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION ENGINEERING (ICFIE 2011)
ISSN：
2070-1918
年：
2011
卷：
8
页码：
349-353
会议名称：
International Conference on Future Information Engineering (ICFIE 2011)
会议论文集名称：
Lecture Notes in Information Technology
会议时间：
SEP 30-OCT 01, 2011
会议地点：
Bangkok, THAILAND
会议主办单位：
[Tan, Jun;Yu, Shao-jun] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China.
主编：
Esa, R Se, L
出版地：
100 CONTINENTAL DR, NEWARK, DE 19713 USA
出版者：
INFORMATION ENGINEERING RESEARCH INST, USA
ISBN：
978-1-61275-990-6
机构署名：
本校为第一且通讯机构
院系归属：
计算机与信息工程学院
摘要：
Aiming at the problem that most of weighted association rules algorithm have not the anti-monotonicity, this paper presents a weighted support-confidence framework which supports anti-monotonicity. On this basis, weighted boolean association rules algorithm and weighted fuzzy association rules algorithm are presented, which use pruning strategy of apriori algorithm so that improve the efficiency of frequent itemsets generated. Experimental result...
