2005 DataMiningPracticalMLTools

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Subject Headings: Data Mining Text Book, Weka System.

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Cited By

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Book Overview

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

  • Performance improvement techniques that work by transforming the input or output

Table of Contents

Engineering the input and output p.285

The Weka machine learning workbench p.363

The Explorer p.369

The Experimenter p.437

The commandline interface p.449

Embedded machine learning p.461

Writing new learning schemes p.471

References


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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2005 DataMiningPracticalMLToolsIan H. Witten
Eibe Frank
Data Mining: Practical machine learning tools and techniques, Second Editionhttp://200.201.9.37/mestrado/docs/WittenFrank.pdf2005