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Item Details
Title: PRINCIPLES OF DATA MINING
By: David J. Hand, Heikki Mannila, Padhraic Smyth
Format: Hardback

List price: £80.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 026208290X
ISBN 13: 9780262082907
Publisher: MIT PRESS LTD
Pub. date: 17 August, 2001
Series: Adaptive Computation and Machine Learning series
Pages: 578
Description: The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics.
Synopsis: 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 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.
Illustrations: 89 b&w illus.
Publication: US
Imprint: Bradford Books
Returns: Returnable
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ANALYSIS OF REPEATED MEASURES
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ARTIFICIAL INTELLIGENCE AND PSYCHIATRY (HB)
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CONSTRAINT-BASED MINING AND INDUCTIVE DATABASES (PB)
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METHODS AND MODELS IN STATISTICS: IN HONOUR OF PROFESSOR JOHN NELDER, FRS (HB)
MODELING THE INTERNET AND THE WEB
MODELING THE INTERNET AND THE WEB (HB)
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MULTIVARIATE ANALYSIS OF VARIANCE AND REPEATED MEASURES (HB)
PATTERN DETECTION AND DISCOVERY (PB)
PRACTICAL LONGITUDINAL DATA ANALYSIS (HB)
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SELECTED STATISTICAL PAPERS OF SIR DAVID COX 2 VOLUME HARDBACK SET
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