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03144nam a2200445 a 4500 |
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991040073504151 |
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20250401111610.0 |
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m o d |
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250401t20172017maua ob 001 0 eng d |
| 020 |
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|a 9780128043578
|q (electronic book)
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|a 0128043571
|q (electronic book)
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|z 9780128042915
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|z 0128042915
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| 020 |
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|z 9780123748560
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| 020 |
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|z 0123748569
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| 035 |
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|a (OCoLC)1512667824
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| 035 |
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|a (OCoLC)on1512667824
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| 040 |
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|a U@S
|b spa
|c U@S
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| 049 |
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|a U@SA
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| 050 |
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0 |
|a QA76.9.D343
|b W58 2017eb
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| 100 |
1 |
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|a Witten, I. H.
|q (Ian H.),
|e author.
|1 https://id.oclc.org/worldcat/entity/E39PBJgtcvTkCHwPWXvxbwgHYP
|
| 245 |
1 |
0 |
|a Data mining
|h [recurso electrónico] :
|b practical machine learning tools and techniques /
|c Ian H. Witten
|
| 250 |
|
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|a Fourth edition.
|
| 260 |
|
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|a Cambridge, Mass. :
|b Morgan Kaufmann,
|c c2017.
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| 300 |
|
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|a 1 recurso en línea (xxxii, 622 p.) :
|b il.
|
| 490 |
1 |
|
|a Morgan Kaufmann Series in Data Management Systems
|
| 516 |
|
|
|a Libro electrónico.
|
| 500 |
|
|
|a Título tomado de la pantalla de presentación (visto 1 de abril de 2025)
|
| 504 |
|
|
|a Incluye referencias bibliográficas (p. 573-600) e índice.
|
| 505 |
2 |
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|a Preface -- Part I. Introduction to data mining -- Part II. More advanced machine learning schemespp -- Appendix A: Theoretical foundations -- Appendix B: The WEKA workbench
|
| 520 |
|
|
|a "Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research."--Descripciòn del editor.
|
| 538 |
|
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|a Modo de acceso: Disponible en línea a través de Internet.
|
| 650 |
|
0 |
|a Data mining.
|
| 650 |
|
7 |
|a Minería de datos.
|2 UDESA
|
| 700 |
1 |
|
|a Frank, Eibe
|1 https://id.oclc.org/worldcat/entity/E39PBJvXmbDgYWKqVfhHjyR9Xd
|
| 700 |
1 |
|
|a Hall, Mark A.
|q (Mark Andrew)
|1 https://id.oclc.org/worldcat/entity/E39PCjxWRrPqqWTj9x9RPjcJTb
|
| 700 |
1 |
|
|a Pal, Christopher J.
|1 https://id.oclc.org/worldcat/entity/E39PCjHFxGKkfkFjvJg8RBPjT3
|
| 830 |
|
0 |
|a Morgan Kaufmann series in data management systems
|
| 856 |
4 |
0 |
|z Solo para usuarios autorizados, sin límite de accesos simultáneos
|u https://ebookcentral.proquest.com/lib/sanandres/detail.action?docID=4708912
|