Three perspectives of data mining
2008-01-14 21:26
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three recent books on data mining written from three different perspectives, i.e.databases, machine learning, and statistics.
The first one, J. Han and M. Kamber’s Data Mining: Concepts and Techniques (Morgan Kaufmann,2001) ,as the authors admitted: “we present the material in this book from a database perspective”, was written from a database perspective. The second one, I. H. Witten and E. Frank’s Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (Morgan Kaufmann, 2000), as the title of the book suggests, was obviously written from a machine learning perspective. Finally,Principles of Data Mining (MIT Press, 2001) by D. Hand, H. Mannila, and P. Smyth, was written from the statistics perspective, as the authors said: “we take a fairly strong statistical view of data mining in this text”.
the detail in paper "Three perspectives of data mining".
The first one, J. Han and M. Kamber’s Data Mining: Concepts and Techniques (Morgan Kaufmann,2001) ,as the authors admitted: “we present the material in this book from a database perspective”, was written from a database perspective. The second one, I. H. Witten and E. Frank’s Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (Morgan Kaufmann, 2000), as the title of the book suggests, was obviously written from a machine learning perspective. Finally,Principles of Data Mining (MIT Press, 2001) by D. Hand, H. Mannila, and P. Smyth, was written from the statistics perspective, as the authors said: “we take a fairly strong statistical view of data mining in this text”.
the detail in paper "Three perspectives of data mining".
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