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Data Mining and Knowledge Discovery Handbook

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 | #5780106 in Books |  Springer |  2005-09-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.75 x6.75 x2.75l,1.10 | File type: PDF | 1383 pages

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||5 of 5 people found the following review helpful.| The Curate's Egg|By Chris Hobbs|This is a book (calling it a "handbook" implies that data miners have particularly large hands) of papers, loosely divided into subject areas.

The first thing to be said is that the index is rubbish. For such a large book it is totally inadequate (5 pages for a 1383 page book!), the level of indexing fluctuates wildly and there are som

Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions ...

You easily download any file type for your device.Data Mining and Knowledge Discovery Handbook   |  From Springer. Just read it with an open mind because none of us really know.

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