Ebook: Data Mining: Know It All
Author: Soumen Chakrabarti et al
- Genre: Computers // Organization and Data Processing
- Year: 2008
- Publisher: Morgan Kaufmann
- Language: English
- pdf
Part of the value of a book like this is to get relevant, well-focused pointers into the larger literature. Some chapters have "resources" sections; some "resources" sections have bibliographies. There is no consistent pattern to the coverage. Finally, and most damaging, many resources are simply missing: "Hartigan, 1975" is all you'll get to find out more about variations of k-means clustering.
I hope the publisher will rectify this by providing adequate bibliographical materials on their website or in later editions.
Part of the value of a book like this is to get relevant, well-focused pointers into the larger literature. Some chapters have "resources" sections; some "resources" sections have bibliographies. There is no consistent pattern to the coverage. Finally, and most damaging, many resources are simply missing: "Hartigan, 1975" is all you'll get to find out more about variations of k-means clustering. I hope the publisher will rectify this by providing adequate bibliographical materials on their website or in later editions.
Part of the value of a book like this is to get relevant, well-focused pointers into the larger literature. Some chapters have "resources" sections; some "resources" sections have bibliographies. There is no consistent pattern to the coverage. Finally, and most damaging, many resources are simply missing: "Hartigan, 1975" is all you'll get to find out more about variations of k-means clustering. I hope the publisher will rectify this by providing adequate bibliographical materials on their website or in later editions.
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