Data mining with rattle and R : the art of excavating data for knowledge discovery
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodolog...
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| Glavni autor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Izdanje: | 1st ed. 2011. |
| Serija: | Use R!
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| Teme: | |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Description d'après consultation du 15 mai 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data mining with rattle and R, the art of excavating data for knowledge discovery, Graham Williams, New York, Springer, 2011, 1 vol. (XX-374 p.), Use R!, 978-1-4419-9889-7 • Data mining with rattle and R, the art of excavating data for knowledge discovery, Graham Williams, New York, Springer, 2011, 1 vol. (XX-374 p.), Use R!, 978-1-4419-9889-7 • Data Mining with Rattle and R, Texte imprimé, 9781441998910 |
Sadržaj:
- Introduction Getting Started Working with Data Loading Data Exploring Data Interactive Graphics Transforming Data Descriptive and Predictive Analytics Cluster Analysis Association Analysis Decision Trees Random Forests Boosting Support Vector Machines Model Performance Evaluation Deployment.