Data Mining (notice n° 33662)
[ vue normale ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01898nam a22002177a 4500 |
| 020 ## - ISBN | |
| ISBN | 978-1-4987-6397-4 |
| 040 ## - SOURCE DU CATALOGAGE | |
| Origine cataloguage | BC-EPAU |
| 041 ## - CODE DE LANGUE | |
| Langue | Anglais |
| 100 ## - VEDETTE PRINCIPALE - AUTEUR PRINCIPAL | |
| Auteur | J. ROIGER , Richard |
| 245 ## - MENTION DU TITRE | |
| Titre | Data Mining |
| Complément de titre | A tutorial- based primer second edition |
| 260 ## - PUBLICATION, DIFFUSION, ETC. (ADRESSE BIBLIOGRAPHIQUE) | |
| Lieu d'édition | new york |
| Nom de l'éditeur | CRC |
| Année d'édition | 2017 |
| 300 ## - DESCRIPTION MATÉRIELLE | |
| Nombre de pages | 487p. |
| Illustration | Couv. ill. en coul. , ill. en coul. fig. , tab. |
| Format | 25cm. |
| 942 ## - DETAILS SUPPLEMENTAIRES | |
| Type document | Ouvrage |
| Famille/Sous-Famille | INFORMATIQUE --> GENERALITES |
| Cote | 5.0 |
| 994 ## - Code Document | |
| Code | 05010073 |
| 490 ## - MENTION DE COLLECTION | |
| Titre Collection | Data mining and knowledge discovery series |
| 520 ## - RÉSUMÉ, ETC. | |
| Résumé | Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools.<br/><br/>Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more.<br/><br/>The text provides in-depth coverage of RapidMiner Studio and Weka’s Explorer interface. Both software tools are used for stepping students through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining experience. |
| 653 ## - DESCRIPTEUR LIBRE | |
| Mots clés libres | Data mining |
| 653 ## - DESCRIPTEUR LIBRE | |
| Mots clés libres | knowledge discovery |
| 653 ## - DESCRIPTEUR LIBRE | |
| Mots clés libres | Data minig strategies |
| 653 ## - DESCRIPTEUR LIBRE | |
| Mots clés libres | The means algorithm |
| Lieu de Stockage Actuel | N° Inventaire | Cote | Code à Barre | Type Document | Ancienne cote |
|---|---|---|---|---|---|
| Bibliothèque Centrale | 35114 | 05010073001 | 05010073001 | Ouvrage | 5.0 |
