GraphMiner

作者: Wei Wang , Chen Wang , Yongtai Zhu , Baile Shi , Jian Pei

DOI: 10.1145/1066157.1066273

关键词: GraphData miningGraph (abstract data type)Data setMolecule miningComputer scienceGraph databaseText miningConcept miningData 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

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