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| Category: | General - Books | By: | Morgan Kaufmann Publishers, Inc. |
| More info: | www.mkp.com | Author(s): | Soumen Chakrabarti, et al |
| Pages: | 460 | Year of publication: | 2009 |
Key Features:- Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints;- Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions;- Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of » Read more... |  |
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Key Features:- Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints;- Presents multiple methods of analysis and algorithmic problem-solving techniques, enhancing the reader's technical expertise and ability to implement practical solutions;- Coverage of both theory and practice brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases.Description:This book consolidates both introductory & advanced topics, thereby covering the gamut of data mining and machine learning tactics from data integration & pre-processing, to fundamental algorithms, to optimization techniques & web mining methodology. The book represents a quick & efficient way to unite valuable content from leading data mining experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources.The book is for:Data analysts, Data modelers, Database R&D professionals, data warehouse engineers, data mining professionals, undergraduate and graduate students who want to incorporate data mining as part of their data management knowledge base & expertise.