作者: Wei Wang , Chen Wang , Yongtai Zhu , Baile Shi , Jian Pei
关键词: Graph 、 Data mining 、 Graph (abstract data type) 、 Data set 、 Molecule mining 、 Computer science 、 Graph database 、 Text mining 、 Concept mining 、 Data stream mining
摘要: Mining frequent structural patterns from graph databases is an important research problem with broad applications. Recently, we developed effective index structure, ADI, and efficient algorithms for mining large, disk-based [5], as well constraint-based techniques. The techniques have been integrated into a prototype system--- GraphMiner. In this paper, describe demo of GraphMiner which showcases the technical details structure including their implementation, performance comparison some state-of-the-art methods, graph-pattern procedure constrained mining, real data sets in novel