Intelligent Data Analysis

An Introduction

Michael Berthold, David J. Hand

526 pages, parution le 27/03/2003 (2^eme édition)

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Résumé

This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues.
The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines.
The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods.
The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas.

Contents

Introduction
Statistical Concepts
Statistical Methods
Bayesian Methods
Support Vector and Kernel Methods
Analysis of Time Series
Rule Induction
Neural Networks
Fuzzy Logic
Stochastic Search Methods
Visualization
Systems and Applications
Appendix A: Tools
Appendix B: Information-Theoretic Tree and Rule Induction

L'auteur - Michael Berthold

Tripos Inc., South San Francisco, CA

L'auteur - David J. Hand

Imperial College, London, UK

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Michael Berthold, David J. Hand
Parution	27/03/2003
Édition	2^eme édition
Nb. de pages	526
Format	16 x 24
Couverture	Relié
Poids	875g
Intérieur	Noir et Blanc
EAN13	9783540430605