[PDF.41oi] Principles of Data Mining (Adaptive Computation and Machine Learning)

Principles of Data Mining (Adaptive Computation and Machine Learning)

[PDF.gz83] Principles of Data Mining (Adaptive Computation and Machine Learning)

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 | #118854 in Books |  2001-08-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x1.00 x8.00l,2.66 | File type: PDF | 578 pages

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||5 of 5 people found the following review helpful.| GREAT INTRO TO DATA MINING|By Shankar Saikia|I bought this book because I wanted a relatively high level (not too high level, but high level enough to give me a good foundation in the theory and issues) to data mining. My goal was to first understand the theory and principles of data mining before getting into the technological and application specifics (e.g., how to use softwa|About the Author|David J. Hand is Professor of Statistics, Department of Mathematics, Imperial College, London. Heikki Mannila is Research Fellow at Nokia Research Center and Professor, Department of Computer Science and Engineering, Helsinki University of Techn

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.

The book consists of three...

You can specify the type of files you want, for your device.Principles of Data Mining (Adaptive Computation and Machine Learning)   |  David J. Hand, Heikki Mannila, Padhraic Smyth. Which are the reasons I like to read books. Great story by a great author.

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