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Structure and Network Analysis

  • Graph mining
    • Finding frequent subgraphs (e.g., chemical compounds), trees (XML), substructures (web fragments)
  • Information network analysis
    • Social networks: actors (objects, nodes) and relationships (edges)
      • e.g., author networks in CS, terrorist networks
    • Multiple heterogeneous networks
      • A person could be multiple information networks: friends, family, classmates, …
    • Links carry a lot of semantic information: Link mining
  • Web mining
    • Web is a big information network: from PageRank to Google
    • Analysis of Web information networks
      • Web community discovery, opinion mining, usage mining, …

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