Association Rule Discovery and Its Applications

作     者：Cai Zhihua Wu XincaiFaculty of Information Engineering, China University of Geosciences, Wuhan 430074 

作者机构：Faculty of Information Engineering China University of Geosciences Wuhan 430074 

出 版 物：《Journal of China University of Geosciences》 (中国地质大学学报（英文版）)

年 卷 期：2001年第12卷第3期

页      面：279-282页

核心收录：

学科分类：081801[工学-矿产普查与勘探] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：theNationalNaturalScienceFoundationofChina (No .496 780 49) 

主　　题：data mining association rule spatial data. 

摘      要：Data mining, i.e., mining knowledge from large amounts of data, is a demanding field since huge amounts of data have been collected in various applications. The collected data far exceed people s ability to analyze it. Thus, some new and efficient methods are needed to discover knowledge from large database. Association rule discovery is an important problem in knowledge discovery and data mining. The association mining task consists of identifying the frequent item sets and then forming conditional implication rules among them. In this paper, we describe and summarize recent work on association rule discovery, offer a new method to association rule mining and point out that association rule discovery can be applied in spatial data mining. It is useful to discover knowledge from remote sensing and geographical information system.