Data mining : practical machine learning tools and techniques
Author
Witten, Ian H.
Additional Author(s)
Frank, Eibe
Publisher
San Fransisco: 2000
Language
English
ISBN
1558605525
Series
The Morgan Kaufmann series in Data management systems
Subject(s)
ARTIFICIAL INTELLIGENCE
DATA MINING
JAVA COMPUTER PROGRAM LANGUAGE
MACHINE LEARNINMG
Notes
. . Index: p. 351-371
Abstract
This book 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. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining―including both tried-and-true techniques of the past and Java-based methods at the leading edge of contemporary research. If you're involved at any level in the work of extracting usable knowledge from large collections of data, this clearly written and effectively illustrated book will prove an invaluable resource.
Complementing the authors' instruction is a fully functional platform-independent Java software system for machine learning, available for download. Apply it to the sample data sets provided to refine your data mining skills, apply it to your own data to discern meaningful patterns and generate valuable insights, adapt it for your specialized data mining applications, or use it to develop your own machine learning schemes.
