期刊文献+

一种改进的关联规则更新算法及其实现 被引量:1

Research and Implementation of an Improved Updating Algorithm for Mining Association Rules
下载PDF
导出
摘要 论文研究了事务数据库记录增加时关联规则的更新问题。在FUP算法的基础上,引入候选支持度、次频繁项集和支持数上界等概念,据此提出了改进算法IFUP。 The article introduces some research about association rules updating when the database records increase.Based on the FUP algorithm,the article proposes several conceptions including backup support threshold,minor frequent candidates set and upper bound of support count ,then presents an improved FUP algorithm IFUP.
出处 《计算机工程与应用》 CSCD 北大核心 2004年第18期171-173,共3页 Computer Engineering and Applications
基金 国家自然科学基金(编号:70371015) 科技部中小型企业创新基金项目(编号:02C2621321007)
关键词 关联规则 频繁项集 候选支持度 次频繁候选集 支持数上界 association rules,frequent itemsets,backup support threshold,minor frequent candidate set,upper bound of support count
  • 相关文献

参考文献6

  • 1David W Cheung,Jiawei Han,Vincent T Ng et al.Maintenance of Discovered Association Rules in Large Databases:An Incremental Updating Technique[C].In:Proceedings of the 12th International Conferences On Data Engineering,New Orleans,Louisiana,1996:106~114
  • 2David W Cheung,Jiawei Han,Vincent T Ng.A Fast Distributed Algorithm for Mining Association Rules[C].In:The 4th International Conference on Parallel and Distributed Information Systems(PDIS96),1996
  • 3JiaweiHan Micheline Kamber著 范明译.数据挖掘概念与技术[M].北京:机构工工业出版社,2000.96.
  • 4孙志挥 肖利(编).知识发现与数据挖掘[J].东南大学计算机科学与工程系,2000,.
  • 5Srikant R,Agrawal R.Mining generalized association rules[C].In:Proceedings of the 21st International Conference on Very Large Databases,Santiago,Chinle http://sinakdd.163.net/main.htm,1994-09
  • 6Agrawal,R Srikant.Fast algorithms for mining association rules[C].In:Proceedings of the 20th International Conference Very Large Data Bases (VLDB'94),Santiago,Chile,1994:487 ~499

共引文献14

同被引文献10

  • 1杨君锐,刘南艳.一种最大频繁项集的增量更新算法[J].武汉大学学报(工学版),2007,40(3):109-114. 被引量:1
  • 2Han J, Kamber M. Data Mining Concepts and Techniques[M].北京:机械工业出版社,2001.
  • 3Wu M,She J H,Nakano M,et al.Expert control and fault diagnosis of the leaching process in a zinc hydrometallurgy plant[J].Control Engineering Practice, 2002,10(4) : 433-442.
  • 4Saux L E,Lenca P,Picouet P,et al.An anthropocentric tool for decision making support[C]//Proceedings of the 16th International Joint Conference on Artificial Intelligence, 1999:338-343.
  • 5Lepy N.Conditional learning of expert's strategies[C]//Proceedings of Human Centered Process 99,10th Mini-EURO Conference, 1999 : 285-291.
  • 6Barthelemy J P,Coppin G,Guillet F.Smelting process control:from experimental design to acquisition of expertise [C]//International Conference on Industrial Engineering and Production Management, 1995:2-11.
  • 7Katsuno H,Mendelzon A.A unified view of propositional knowledge base updates[C]//Proceedings UJCAI-89, Detroit, MI, 1989 : 1413-1419.
  • 8Katsuno H,Mendelzon A.On the difference between updating a knowledge base and revising it[C]//Proceedings of the 2nd Conference on Knowledge Representation and Reasoning, 1991:183-203.
  • 9张学民,安利平.动态数据库规则获取和更新的粗糙集方法[J].天津大学学报(自然科学与工程技术版),2001,34(4):529-532. 被引量:12
  • 10刘刚,李德敏,施颖男,王昳.基于RS在移动计算中的规则提取与仿真[J].计算机工程与应用,2003,39(1):112-114. 被引量:2

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部