Foundations and Novel Approaches in Data Mining

By: T. y. Lin, Tsau Young Lin (Editor), Setsuo Ohsuga (Editor)

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Hardcover | 3 November 2005

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392 Pages

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24.13 x 15.24 x 1.27

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Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

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Non-Fiction Computing & I.T.Databases Data Mining Mathematics Applied Mathematics Computer Science Artificial Intelligence Engineering & Technology Technology in General Engineering in General Maths for Engineers

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Paperback

Published: 20th November 2010

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Commonsense causal modeling in the data mining context	p. 3
Definability of association rules in predicate calculus	p. 23
A measurement-theoretic foundation of rule interestingness evaluation	p. 41
Statistical independence as linear dependence in a contingency table	p. 61
Foundations of classification	p. 75
Data mining as generalization : a formal model	p. 99
SVM-OD : SVM method to detect outliers	p. 129
Extracting rules from incomplete decision systems : system ERID	p. 143
Mining for patterns based on contingency tables by KL-miner - first experience	p. 155
Knowledge discovery in fuzzy databases using attribute-oriented induction	p. 169
Rough set strategies to data with missing attribute values	p. 197
Privacy-preserving collaborative data mining	p. 213
Impact of purity measures on knowledge extraction in decision trees	p. 229
Multidimensional on-line mining	p. 243
Quotient space based cluster analysis	p. 259
Research issues in Web structural delta mining	p. 273
Workflow reduction for reachable-path rediscovery in workflow mining	p. 289
Principal component-based anomaly detection scheme	p. 311
Making better sense of the demographic data value in the data mining procedure	p. 331
An effective approach for mining time-series gene expression profile	p. 363
Table of Contents provided by Blackwell. All Rights Reserved.

Foundations and Novel Approaches in Data Mining

At a Glance

Hardcover

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How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

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