2005 DataMiningPracticalMLTools

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Subject Headings: Data Mining Text Book, Weka System.

Notes

Cited By

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Book Overview

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.

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