Data mining: practical machine learning tools and techniques
Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Witten, I. H., (Ian H.) (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Amsterdam Morgan Kaufman 2005
Ausgabe:2nd ed
Schriftenreihe:Morgan Kaufmann series in data management systems
Schlagworte:
Online-Zugang:FAW01
FAW02
Volltext
Beschreibung:Includes bibliographical references (pages 485-503) and index
pt. I. Machine learning tools and techniques. What's it all about? -- Input : concepts, instances, and attributes -- Output : knowledge representation -- Algorithms : the basic methods -- Credibility : evaluating what's been learned -- Implementations : real machine learning schemes -- Transformations : engineering the input and output -- Moving on : extensions and applications -- pt. II. The Weka machine learning workbench. Introduction to Weka -- The Explorer -- The Knowledge Flow interface -- The Experimenter -- The command-line interface -- Embedded machine learning -- Writing new learning schemes
Much anticipated second edition of the highly-acclaimed reference on data mining and machine learning
Beschreibung:1 Online-Ressource (xxxi, 525 pages)
ISBN:008047702X
0120884070
1423722442
9780080477022
9781423722441

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