计算机科学 ›› 2008, Vol. 35 ›› Issue (5): 152-153.

• • 上一篇    下一篇

基于图的多关系数据挖掘理论研究与方法

  

  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    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.

  • Online:2018-11-16 Published:2018-11-16

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。

关键词: 图 树 路径 结构化数据 数据挖掘

Abstract: 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

Key words: Graph, Tree, Path, Structured data, Data mining

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!