摘要
随着近几年信息技术的发展,人们在生产生活的各个方面积累了大量复杂类型数据结构,图数据结构就是其中之一,对于图挖掘的研究也逐渐成为了科研领域的热点.文章通过对于目前学术界关于图挖掘的研究成果的总结,介绍了几类基本的图算法.同时,对于图数据研究的应用与面临的挑战也做了简要分析.
With the development of information technology in recent years,human being has accumulate a large number of complex types of data structures in production and living in all aspects.The data structure of graph is one of them,and the research on graph mining has gradually become the hotspot in scientific research field.Based on the definition graphs,this paper introduces several basic graph algorithms by summarizing the research results of graph mining in academic circles.Simultaneously,the applications of graph data research and the challenges are also briefly analyzed.
作者
崔景洋
CUI Jingyang(College of Information Engineering,Hebei GEO University,Shijiazhuang Hebei 050031 ,China)
出处
《太原师范学院学报（自然科学版）》
2018年第1期38-40,46,共4页
Journal of Taiyuan Normal University:Natural Science Edition
基金
国家自然科学基金(61503260)
河北省研究生创新资助项目(CXZZSS2017132)
关键词
数据挖掘
图数据
频繁子图挖掘
图分类
图聚类
data mining
graph data
frequent graph
graph classification
graph clustering
