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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