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Intelligent Data Analysis

Intelligent Data Analysis

An Introduction

by Michael R. Berthold, David J Hand

Publisher Springer
Published Date 2007-06-07
Page Count 515
Categories Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Mathematics / Probability & Statistics / General, Computers / System Administration / Storage & Retrieval, Computers / Artificial Intelligence / General, Computers / Mathematical & Statistical Software, Computers / Data Science / Data Analytics, Computers / Optical Data Processing, Computers / Software Development & Engineering / General, Mathematics / Discrete Mathematics
Language EN
Average Rating N/A (based on N/A ratings)
Maturity Rating No Mature Content Detected
ISBN 3540486259
Book Cover 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.
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