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Principles of Data Mining (Adaptive Computation and Machine Learning)
David J. Hand, Heikki Mannila, Padhraic Smyth
[PDF.ko43] Principles of Data Mining (Adaptive Computation and Machine Learning)
Principles of Data Mining David J. Hand, Heikki Mannila, Padhraic Smyth epub Principles of Data Mining David J. Hand, Heikki Mannila, Padhraic Smyth pdf download Principles of Data Mining David J. Hand, Heikki Mannila, Padhraic Smyth pdf file Principles of Data Mining David J. Hand, Heikki Mannila, Padhraic Smyth audiobook Principles of Data Mining David J. Hand, Heikki Mannila, Padhraic Smyth book review Principles of Data Mining David J. Hand, Heikki Mannila, Padhraic Smyth summary
| #702484 in Books | 2001-08-01 | Original language:English | PDF # 1 | 9.00 x1.00 x8.00l,2.66 | File type: PDF | 578 pages||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.
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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. I really enjoyed this book and have already told so many people about it!
