E-Book, Englisch, 515 Seiten, eBook
Berthold / Hand Intelligent Data Analysis
2. revidierte and ext. Auflage 2003. Corr. 2. printing 2007
ISBN: 978-3-540-48625-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
An Introduction
E-Book, Englisch, 515 Seiten, eBook
ISBN: 978-3-540-48625-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
