DATA MINING: PRACTICAL MACHINE LEARNING TOOLS AND TECHNIQUES ( 9780123748560 )

Item Details

Title:

DATA MINING: PRACTICAL MACHINE LEARNING TOOLS AND TECHNIQUES

Format:

Paperback

List price:	£47.99
We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10:

0123748569

ISBN 13:

9780123748560

Publisher:

ELSEVIER SCIENCE & TECHNOLOGY

Pub. date:

6 January, 2011

Edition:

3rd edition

Pages:

664

Description:

Offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This work on data mining and machine learning teaches you what you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods.

Synopsis:

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise.

Illustrations:

Approx. 120 illustrations; Illustrations, unspecified

Publication:

Imprint:

Morgan Kaufmann Publishers In

Returns:

Returnable

Some other items by this author:

DATA MANAGEMENT BUNDLE (PB)

DATA MINING

DATA MINING (PB)