Intelligent Data Analysis: An Introduction

-

ISBN 10: 3540658084 / ISBN 13: 9783540658085

Editore: - -, 1999

Riguardo questo articolo

This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Codice articolo 6545-9783540658085

Dati bibliografici

• Titolo: Intelligent Data Analysis: An Introduction
• Editore: - -
• Data di pubblicazione: 1999
• Lingua: Inglese
• ISBN 10: 3540658084
• ISBN 13: 9783540658085
• Rilegatura: Hardcover
• Condizione: Very Good

Descrizione articolo

Riassunto

This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The 10 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 approach. 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 higher level overview of the IDA process and illustrations of the breadth of application of the ideas.

Dalla quarta di copertina

This monograph is a detailed introcuctory presentation of the key classes of intelligent data analysis methods. The ten 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 approach. 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 higher level overview of the IDA process and illustrations of the breadth of application of the ideas. The book will become a valuable source of reference for professionals concerned with modern data analysis. Students as well as IT professionals interested in learning about intelligent data analysis will appreciate the book as useful text enhanced by numerous illustrations and examples.