Data Mining: Practical Machine Learning Tools and Techniques

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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 o...

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Detalles Bibliográficos
Autores principales: Witten, Ian H, Frank, Eibe, Hall, Mark A
Lenguaje:eng
Publicado: Elsevier 2011
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1412563
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author Witten, Ian H
Frank, Eibe
Hall, Mark A
author_facet Witten, Ian H
Frank, Eibe
Hall, Mark A
author_sort Witten, Ian H
collection CERN
description 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 modernizations that have taken place
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institution Organización Europea para la Investigación Nuclear
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publishDate 2011
publisher Elsevier
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spelling cern-14125632021-04-22T00:44:54Zhttp://cds.cern.ch/record/1412563engWitten, Ian HFrank, EibeHall, Mark AData Mining: Practical Machine Learning Tools and TechniquesComputing and ComputersData 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 modernizations that have taken placeElsevieroai:cds.cern.ch:14125632011
spellingShingle Computing and Computers
Witten, Ian H
Frank, Eibe
Hall, Mark A
Data Mining: Practical Machine Learning Tools and Techniques
title Data Mining: Practical Machine Learning Tools and Techniques
title_full Data Mining: Practical Machine Learning Tools and Techniques
title_fullStr Data Mining: Practical Machine Learning Tools and Techniques
title_full_unstemmed Data Mining: Practical Machine Learning Tools and Techniques
title_short Data Mining: Practical Machine Learning Tools and Techniques
title_sort data mining: practical machine learning tools and techniques
topic Computing and Computers
url http://cds.cern.ch/record/1412563
work_keys_str_mv AT wittenianh dataminingpracticalmachinelearningtoolsandtechniques
AT frankeibe dataminingpracticalmachinelearningtoolsandtechniques
AT hallmarka dataminingpracticalmachinelearningtoolsandtechniques

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