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  • 标题:Graph Mining Sub Domains and a Framework for Indexing – A Graphical Approach
  • 本地全文:下载
  • 作者:K. Vivekanandan ; A. Pankaj Moses Monickaraj ; D. Ramya Chithra
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2013
  • 卷号:4
  • 期号:4
  • DOI:10.14569/IJACSA.2013.040425
  • 出版社:Science and Information Society (SAI)
  • 摘要:Graphs are one of the popular models for effective representation of complex structured huge data and the similarity search for graphs has become a fundamental research problem in Graph Mining. In this paper initially, the preliminary graph related basic theorems are brushed and showcased on with various research sub domains such as Graph Classification, Graph Searching, Graph Indexing, and Graph Clustering. These are discussed with few of the most dominant algorithms in their respective sub domains. Finally a model is proposed along with various algorithms with their future projection.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Graph; Graph Mining; Graph Classification; Graph Searching; Graph Indexing; Graph Clustering
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