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Summary

  • Data mining: Discovering interesting patterns and knowledge from massive amount of data
  • A natural evolution of science and information technology, in great demand, with wide applications
  • A KDD process includes data cleaning, data integration, data selection, transformation, data mining, pattern evaluation, and knowledge presentation
  • Mining can be performed in a variety of data
  • Data mining functionalities: characterization, discrimination, association, classification, clustering, trend and outlier analysis, etc.
  • Data mining technologies and applications
  • Major issues in data mining

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