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  • 标题:Implementation issues of clique enumeration algorithm
  • 作者:Takeaki UNO
  • 期刊名称:Progress in Informatics
  • 印刷版ISSN:1349-8614
  • 电子版ISSN:1349-8606
  • 出版年度:2012
  • 期号:9
  • 页码:25-30
  • DOI:10.2201/NiiPi.2012.9.5
  • 出版社:National Institute of Informatics
  • 摘要:A clique is a subgraph in which any two vertices are connected. Clique represents a densely connected structure in the graph, thus used to capture the local related elements such as clustering, frequent patterns, community mining, and so on. In these applications, enumeration of cliques rather than optimization is frequently used. Recent applications have large scale very sparse graphs, thus efficient implementations for clique enumeration is necessary. In this paper, we describe the algorithm techniques (not coding techniques) for obtaining efficient clique enumeration implementations.
  • 关键词:maximal clique; enumeration; community mining; cluster mining; polynomial time; reverse search
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