Data mining: practical machine learning tools and techniques

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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Altres autors: Witten, Ian H. (coautor), Frank, Eibe (coautor), Hall, Mark A. (coautor)
Format: Llibre
Idioma:English
Edició:3a ed.
Matèries:

MARC

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041 0 |a eng 
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245 |a Data mining:   |c Ian H. Witten, Eibe Frank, Mark A. Hall  |h imp  |b practical machine learning tools and techniques 
250 |a 3a ed. 
264 |a Amsterdam  |b ELSEVIER  |c 2011 
300 |a xxxiii; 629 páginas:  |b dia  |c 23,5 cm 
504 |a incl. ref. 
520 3 |a 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 in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. 
650 |a Mineria de datos  |9 50479 
650 |a Herramientas de aprendizaje  |9 102115 
650 |a Aprendizaje automatico  |9 102116 
650 |a Preparacion de insumos  |9 102117 
650 |a Interpretacion de resultados  |9 102118 
650 |a Evaluacion de resultados  |9 102119 
650 |a Metodos algoritmicos  |9 102120 
650 |a Transformaciones de datos  |9 102121 
650 |a Software de aprendizaje  |9 102122 
650 |a Investigacion contemporanea  |9 102123 
700 1 |a Witten, Ian H.  |e coautor  |9 102124 
700 1 |a Frank, Eibe  |e coautor  |9 102125 
700 1 |a Hall, Mark A.  |e coautor  |9 102126 
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