Graph-based Data Mining Algorithm Research
Xun Wang · Jisuanji gongcheng · 2006
Graph is one of the most complex data structures in computer science.It can be intuitively presented and has a wide variety of applications both in research and in business.Accordingly,how to derive the interesting subgraph patterns from the great volume of graph-structured data has become one of the hottest issues in data mining field.This article introduces some of the theoretical bases of graph,then proposes an improvement on the classic Apriori algorithm as well as a method of graph-based data mining,which can mine frequent subgraph patterns effectively.