[PDF] Principles of Data Mining (Adaptive Computation and Machine Learning)
• David J. Hand, Heikki Mannila, Padhraic Smyth •
| #850267 in Books | 2001-08-01 | Ingredients: Example Ingredients | Original language:English | PDF # 1 | 9.00 x1.00 x8.00l,2.66 | File Name: 026208290X | 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 softw|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 Tech
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 thre...
[PDF.zk21] Principles of Data Mining (Adaptive Computation and Machine Learning) Rating: 3.86 (400 Votes)
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You easily download any file type for your device.Principles of Data Mining (Adaptive Computation and Machine Learning) | David J. Hand, Heikki Mannila, Padhraic Smyth. I was recommended this book by a dear friend of mine.
