Principles of Data Mining

Author: David J. Hand
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Publisher: A Bradford Book
Binding: Hardcover
ISBN: 026208290X
Category: Programming
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Principles of Data Mining (Adaptive Computation and Machine Learning)

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. Programming books Principles of Data Mining pdf. 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 sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. Download books Principles of Data Mining and Knowledge Discovery: First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings pdf via mediafire, 4shared, rapidshare.

Price comparison for Principles of Data Mining and Knowledge Discovery, 5 conf., PKDD 2001

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This book constitutes the refereed proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2001, held in Freiburg, Germany, in September 2001.The 40 revised full papers presented together with four invited contributions were carefully reviewed and selected from close to 100 submissions. Among the topics addressed are hidden Markov models, text summarization, supervised learning, unsupervised learning, demographic data analysis, phenotype data mining,

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Principles of Data Mining and Knowledge Discovery: First European Symposium, PKDD '97, Trondheim, Norway, June 24-27, 1997 Proceedings: Jan Komorowski, Jan Zytkow

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Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg | 1998 | 494 pages | ISBN-13: 9783540650683 | ISBN-10: 3540650687 | You save 20%

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Categories: Data mining. Contributors: David J. Hand - Author. Format: Hardcover

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David Hand is Professor of Statistics, Department of Mathematics, Imperial College, London.

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Download Principles of Data Mining

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 sections. The first, foundations, provides a tutorial overview of the principles underlying data mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based" models. The third section shows how all of the preceding analysis fits together when applied to real-world data mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing. Download free Principles of Data Mining (Adaptive Computation and Machine Learning) pdf