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负增量式关联规则更新算法
引用本文:张师超,张继连,陈峰,倪艾玲.负增量式关联规则更新算法[J].计算机科学,2005,32(9):153-155.
作者姓名:张师超  张继连  陈峰  倪艾玲
作者单位:1. 悉尼科技大学信息技术学院,澳大利亚悉尼;广西师范大学计算机系,桂林,541004
2. 广西师范大学计算机系,桂林,541004
基金项目:澳大利亚ARC项目(DP0559536);国家自然科学基金重大项目(60496321);国家自然科学基金项目(60463003).
摘    要:模式维护是数据挖掘中一个具有挑战性的任务.现有的增量式关联规则更新算法主要解决两种情况下的维护问题:一是最小支持度不变,而数据量增加;二是数据量不变,而改变最小支持度.本文提出了一种负增量关联规则更新算法.实验表明,该算法是有效的.

关 键 词:数据挖掘  关联规则  增量更新算法  模式维护  数据库

Negative Incremental Updating Algorithm for Maintaining Association Rules
ZHANG Shi-Chao,ZHANG Ji-Lian,CHEN Feng,NI Ai-Ling.Negative Incremental Updating Algorithm for Maintaining Association Rules[J].Computer Science,2005,32(9):153-155.
Authors:ZHANG Shi-Chao  ZHANG Ji-Lian  CHEN Feng  NI Ai-Ling
Affiliation:1.Faculty of Information Technology, University of Technology Sydney, Australia;2.Department of Computer Seience,GuangXi Normal University,Guilin 541004
Abstract:Pattern maintenance is a challenging task in data mining. Existing incremental updating algorithms are de- signed for maintaining association rules in two ways. One is to maintain association rules with a constant minimal sup- port while new data is added to original database. Another is to maintain association rules with different minimal sup- ports and a constant database size. In this paper, a new algorithm, called Negative Incremental Updating Algorithm (NIUA), is proposed for maintaining association rules. We experimentally evaluate the proposed approach, and illus- trate that our algorithm is efficient and promising.
Keywords:Data mining  Association rules  Incremental updating algorithm
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