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The handbook of data mining

Contributor(s): Series: Human Factors and ErgonomicsPublication details: London Lawrence Erlbaum Associates, Publishers 2003Description: xxx, 680 pISBN:
  • 9780805855630
Subject(s): DDC classification:
  • 006.3
Summary: "Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, ""The Handbook of Data Mining"" presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials. This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bio informatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality."
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 3-B / Slot 103 (0 Floor, West Wing) General Stacks 006.3 H2 (Browse shelf(Opens below)) Available 164504

"Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, ""The Handbook of Data Mining"" presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials. This book is organized into three parts. Part I presents various data mining methodologies, concepts, and available software tools for each methodology. Part II addresses various issues typically faced in the management of data mining projects and tips on how to maximize outcome utility. Part III features numerous real-world applications of these techniques in a variety of areas, including human performance, geospatial, bio informatics, on- and off-line customer transaction activity, security-related computer audits, network traffic, text and image, and manufacturing quality."

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