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25 Remote Warehouse Software Engineering- Systems Analysis and Design

Intelligent Data Analysis

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Intelligent Data Analysis Cover

 

Synopses & Reviews

Publisher Comments:

  This monograph is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The 12 coherently written chapters by leading experts provide complete coverage of the core issues. The previous edition was completely revised and a new chapter on kernel methods and support vector machines and a chapter on visualization techniques were added. The revised chapters from the original edition cover classical statistics issues, ranging from the basic concepts of probability through general notions of inference to advanced multivariate and time-series methods, and provide a detailed discussion of the increasingly important Bayesian approaches. The remaining chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher-level overview of the IDA processes, illustrating the breadth of application of the presented ideas. The second edition features an extensive index, which makes this volume also useful as a quick reference on the key techniques in intelligent data analysis.

Synopsis:

Includes bibliographical references (p. [474]-514) and index.

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.

Table of Contents

1. Introduction; 2. Statistical Concepts; 3. Statistical Methods; 4. Bayesian Methods; 5. Support Vector and Kernel Methods; 6. Analysis of Time Series; 7. Rule Induction; 8. Neural Networks; 9. Fuzzy Logic; 10. Stochastic Search Methods; 11 Visualization; 12. Systems and Applications; Appendix A: Information Theory and Decision Tree Induction; Appendix B: Tools; References; Index; Author Addresses.

Product Details

ISBN:
9783540430605
Editor:
Berthold, Michael
Editor:
Hand, David
Editor:
Berthold, Michael
Editor:
Hand, David
Author:
Hand, David J.
Author:
Cram101 Textbook Reviews
Author:
Berthold, Ed
Author:
Berthold, Michael R.
Publisher:
Springer
Location:
Berlin
Subject:
Mathematical statistics
Subject:
Artificial Intelligence
Subject:
Programming - Systems Analysis & Design
Subject:
Probability & Statistics - General
Subject:
Artificial Intelligence - General
Subject:
Software Development & Engineering - Systems
Subject:
Intelligence (AI) & Semantics
Subject:
Computer Vision
Subject:
Bayesian analysis
Subject:
Data mining
Subject:
Intelligent Data Analysis
Subject:
Machine learning
Subject:
Neuro-Fuzzy Data Analysis
Subject:
Statistical data analysis
Subject:
Data Visualization
Subject:
Fuzzy logic
Subject:
inductive logic programming
Subject:
Multivariate analysis
Subject:
statistical inference
Subject:
Statistical Learning
Subject:
support vector machine
Subject:
Time-series analysis
Subject:
Pattern recognition.
Subject:
Statistical Theory and Methods
Subject:
Information storage and retrieval.
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Probability and Statistics in Computer Science
Subject:
Data Mining and Knowledge Discovery
Subject:
Data Mining and Knowledge Discovery 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 nomencl
Subject:
Education-General
Subject:
Software Engineering-Systems Analysis and Design
Copyright:
Edition Number:
2
Edition Description:
2nd rev. and ext. ed. 2003. Corr. 2nd printing
Series Volume:
v. 10, 11, 281-289
Publication Date:
20070201
Binding:
HARDCOVER
Language:
English
Illustrations:
Yes
Pages:
528
Dimensions:
235 x 155 mm 1043 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Software Engineering » Systems Analysis and Design
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Intelligent Data Analysis New Hardcover
0 stars - 0 reviews
$118.50 In Stock
Product details 528 pages Springer - English 9783540430605 Reviews:
"Synopsis" by , Includes bibliographical references (p. [474]-514) and index.
"Synopsis" by , 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.
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