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Graph Mining: Laws, Tools, and Case Studies

Deepayan Chakrabarti, Christos Faloutsos ★ 3.7/5 · ItemOracle Score Budget

$38 USD
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Graph Mining: Laws, Tools, and Case Studies (Synthesis Lectures on Data Mining and Knowledge Discovery)

Introductory overview of graph mining concepts, methods, and real-world case studies. Explains laws, tools, and practical insights for data mining and knowledge discovery. customer insight: none

Highlights

  • graph mining concepts
  • laws and tools
  • case studies

Pros

  • comprehensive coverage of graph mining concepts
  • includes case studies for practical understanding
  • user-friendly synthesis lectures format

Cons

  • no features listed
  • no customer-positive specifics available
  • limited review data

Best For

  • academic research
  • data science project planning
  • graph analytics education
  • tool selection for graph mining
  • case-study reference for practitioners
  • knowledge discovery workflows

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