Overview
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
Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
Keywords
- Bayesian analysis
- Data Mining
- Intelligent Data Analysis
- Machine Learning
- Neuro-Fuzzy Data Analysis
- Statistical Data Analysis
- data visualization
- fuzzy logic
- inductive logic programming
- multi-variate Analysis
- statistical inference
- statistical learning
- time series analysis
- artificial intelligence
- data analysis
- intelligence
- kernel
- logic
- neural networks
- Support Vector Machine
About this book
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)
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Data Analysis
Book Subtitle: An Introduction
Editors: Michael Berthold, David J. Hand
DOI: https://doi.org/10.1007/978-3-540-48625-1
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-43060-5Published: 19 March 2003
Softcover ISBN: 978-3-642-07707-4Published: 05 December 2010
eBook ISBN: 978-3-540-48625-1Published: 07 June 2007
Edition Number: 2
Number of Pages: XI, 515
Topics: Pattern Recognition, Statistical Theory and Methods, Information Storage and Retrieval, Artificial Intelligence, Probability and Statistics in Computer Science, Data Mining and Knowledge Discovery