Data mining and predictive analytics
"This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified 'white box' approach to data mining methods and models. This...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Hoboken, New Jersey :
John Wiley & Sons
2015.
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| Edition: | Second edition |
| Series: | Wiley series on methods and applications in data mining.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009684436106719 |
| Summary: | "This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified 'white box' approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets."-- Portion of summary from book. |
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| Physical Description: | 1 online resource (824 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118868676 9781118868706 |
