基于图的多关系数据挖掘理论研究与方法  

Graph-based Multi-relations Data Mining Fundamental Research and Application

作　　者：王映龙[1] 宋泽锋[1] 陈卓[1] 

机构地区：[1]北京科技大学信息工程学院

出　　处：《计算机科学》2008年第5期152-153,157,共3页Computer Science

基　　金：国家自然科学基金(60675030)资助;教育部科技重点项目(教技司[2000]175)资助

摘　　要：在过去的几年.结构化数据挖掘的需求日渐兴起,图是计算机学科和离散数学中最好的结构数据研究之一,基于图的数据挖掘已越来越广泛。本文介绍了基于图的数据挖掘的理论基础及其研究方法。The need for mining structured data has increased in the past few years. One of the best studied data structures in computer science and discrete mathematics are graphs. It can therefore be no surprise that graph based data mining has become quite popular in the last few years. This article introduces the theoretical basis of graph based data mining and surveys the state of the art of graph-hased data mining and brief descriptions of some representative approaches.

关 键 词：图 树 路径 结构化数据 数据挖掘 

分 类 号：TP3-4[自动化与计算机技术—计算机科学与技术] TN92[电子电信—通信与信息系统]