1.

Record Nr.

UNINA9910822335803321

Autore

Witten I. H (Ian H.)

Titolo

Data mining [[electronic resource] ] : practical machine learning tools and techniques / / Ian H. Witten, Eibe Frank, Mark A. Hall

Pubbl/distr/stampa

Amsterdam, : Elsevier/Morgan Kaufmann, 2011

ISBN

1-282-95388-5

9786612953880

0-08-089036-9

Edizione

[3rd ed.]

Descrizione fisica

1 online resource (665 p.) : ill

Collana

The Morgan Kaufmann Series in Data Management Systems

Altri autori (Persone)

FrankEibe

HallMark A

Disciplina

006.3/12

Soggetti

Data mining

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Part I. Machine learning tools and techniques: 1. What's it all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what's been learned -- Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble learning; 9. Moving on: applications and beyond -- Part III. The Weka Data MiningWorkbench: 10. Introduction to Weka; 11. The explorer -- 12. The knowledge flow interface; 13. The experimenter; 14 The command-line interface; 15. Embedded machine learning; 16. Writing new learning schemes; 17. Tutorial exercises for the weka explorer.

Sommario/riassunto

Data Mining: Practical Machine Learning Tools and Techniques 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 modernizatio