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Springer Intelligent Data Analysis: An Introduction Book

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Description

Explore the fundamental methods of intelligent data analysis with this comprehensive monograph from Springer. This book provides a detailed introductory presentation of key classes of data analysis methods through twelve coherently written chapters authored by leading experts. The text covers a wide range of essential topics, starting with classical statistical issues such as basic probability concepts, general notions of inference, and advanced multivariate and time series methods. Readers will also gain a detailed understanding of increasingly important Bayesian approaches and Support Vector Machines. This resource offers complete coverage of core issues in the field, making it a valuable guide for studying the foundations of intelligent data analysis.

Key Features

This Springer monograph provides a detailed introductory presentation of key classes of intelligent data analysis methods.

Twelve chapters written by leading experts offer complete coverage of core issues within the field.

The text covers classical statistical issues including basic probability concepts and general notions of inference.

Advanced topics are included such as multivariate methods, time series methods, and Support Vector Machines.

The book provides a detailed discussion of increasingly important Bayesian approaches for data analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 March 2003
Listed Since
15 February 2007

Barcode

No barcode data available

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