Data Mining: Practical Machine Learning Tools And Techniques - Couverture souple

Witten, Ian-H

Couverture souple

ISBN 10 : 0120884070 ISBN 13 : 9780120884070

Editeur : Morgan Kaufmann Publishers In, 2005

Synopsis

Book by Witten Ian H Frank Eibe

A propos du livre

Présentation de l'éditeur :

As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.

The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.

* Algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methods
* Performance improvement techniques that work by transforming the input or output
* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization-in a new, interactive interface

Présentation de l'éditeur :

Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references.

The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more.

This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.

• Algorithmic methods at the heart of successful data mining―including tried and true techniques as well as leading edge methods
• Performance improvement techniques that work by transforming the input or output

À propos de cette édition

• Éditeur: Morgan Kaufmann Publishers In
• Date d'édition: 2005
• ISBN 10: 0120884070
• ISBN 13: 9780120884070
• Reliure: Broché
• Numéro d'édition: 2
• Nombre de pages: 560