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含负项的关联规则挖掘研究综述

冯山 游晋峰

四川师范大学学报(自然科学版)2011,Vol.34Issue(5):746-750,5.
四川师范大学学报(自然科学版)2011,Vol.34Issue(5):746-750,5.DOI:10.3969/j.issn.1001-8395.2011.05.029

含负项的关联规则挖掘研究综述

A Synthetic Study of the Mining of Association Rule with Negative Items

冯山 1游晋峰2

作者信息

  • 1. 四川师范大学数学与软件科学学院,四川成都610066
  • 2. 晋中师范高等专科学校数学系,山西晋中030600
  • 折叠

摘要

Abstract

The mining of association rule is an active field in data mining research. The traditional association rules can only re-flect relationships among positive items, but they unfit for the negative association relationships hidden in data. In this paper, we sum-marize the researches of the mining of association rules which include both positive and negative items. The reason of introducing nega-tive association rule mining is discussed. The concepts and relative terms of association rules with positive items and negative items are presented. The latest researches of the mining of association rules with negative items are summarized. The typical algorithms of the mining of association rules with negative items are reviewed and the future research directions of association rules with negative items are discussed and prompted as well.

关键词

一般化关联规则/负关联规则/负项目/数据挖掘

Key words

general association rule/ negative association rule/ negative item/ data mining

分类

信息技术与安全科学

引用本文复制引用

冯山,游晋峰..含负项的关联规则挖掘研究综述[J].四川师范大学学报(自然科学版),2011,34(5):746-750,5.

基金项目

四川省教育厅自然科学重点基金(09ZA100)资助项目 (09ZA100)

四川师范大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1001-8395

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