Data mining algorithms explained using R
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and c...
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| Format: | E-Book Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Chichester
Wiley
2015
John Wiley & Sons, Incorporated Wiley-Blackwell |
| Ausgabe: | 1st ed. |
| Schlagworte: | |
| ISBN: | 111833258X, 9781118950845, 9781118332580, 1118950844, 1118950801, 9781118950807 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R. |
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| Bibliographie: | Includes bibliographical references and index |
| ISBN: | 111833258X 9781118950845 9781118332580 1118950844 1118950801 9781118950807 |
| DOI: | 10.1002/9781118950951 |

