Intelligent Data Analysis

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Artikelzustand
Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
ISBN
9783540430605
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3540430601
ISBN-13
9783540430605
eBay Product ID (ePID)
2293513

Product Key Features

Number of Pages
Xi, 515 Pages
Publication Name
Intelligent Data Analysis : an Introduction
Language
English
Publication Year
2003
Subject
Probability & Statistics / General, Intelligence (Ai) & Semantics, System Administration / Storage & Retrieval, Computer Vision & Pattern Recognition
Features
Revised
Type
Textbook
Subject Area
Mathematics, Computers
Author
David J. Hand
Format
Hardcover

Dimensions

Item Weight
41.5 Oz
Item Length
9.4 in
Item Width
6.3 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2003-041211
Reviews
From the reviews of the second edition:"One excellent feature of the second addition … . This is a particularly nice overview with excellent descriptions and numerous illustrations, most in color, for a wide variety of types of visualizations. " (E. Ziegel, Technometrics, 2005)"In this second edition … have expanded the coverage of topics and ensured that this remains the key text for surveying the field. The twelve chapters which make up the book provide an academically rigorous and concise to the key methodologies which make up the discipline. … In all this is a comprehensive survey of the field, and will appeal to graduate and post-graduate students, researchers and academics seeking an overview of the theoretical tools available for intelligently analyzing large, complex data sets." (TechBookReport, November, 2003), From the reviews of the second edition: "One excellent feature of the second addition a? . This is a particularly nice overview with excellent descriptions and numerous illustrations, most in color, for a wide variety of types of visualizations. " (E. Ziegel, Technometrics, 2005) "In this second edition a? have expanded the coverage of topics and ensured that this remains the key text for surveying the field. The twelve chapters which make up the book provide an academically rigorous and concise to the key methodologies which make up the discipline. a? In all this is a comprehensive survey of the field, and will appeal to graduate and post-graduate students, researchers and academics seeking an overview of the theoretical tools available for intelligently analyzing large, complex data sets." (TechBookReport, November, 2003), From the reviews of the second edition: "One excellent feature of the second addition ... . This is a particularly nice overview with excellent descriptions and numerous illustrations, most in color, for a wide variety of types of visualizations. " (E. Ziegel, Technometrics, 2005) "In this second edition ... have expanded the coverage of topics and ensured that this remains the key text for surveying the field. The twelve chapters which make up the book provide an academically rigorous and concise to the key methodologies which make up the discipline. ... In all this is a comprehensive survey of the field, and will appeal to graduate and post-graduate students, researchers and academics seeking an overview of the theoretical tools available for intelligently analyzing large, complex data sets." (TechBookReport, November, 2003)
Dewey Edition
21
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
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.
Edition Description
Revised edition
Synopsis
This second and revised edition contains a detailed introduction to 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. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes., 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., An introduction to the diverse areas of modern Data Analysis. Extensive Coverage of interdisciplinary field by leading experts in the field. Twelve introductory chapters, edited to build upon each other. Uniform nomenclature.
LC Classification Number
Q337.5

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