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...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2011. |
| Serie: | Use R!
|
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
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| 100 | 1 | |a Williams, Graham. | |
| 245 | 1 | 0 | |a Data mining with rattle and R : |b the art of excavating data for knowledge discovery |c Graham Williams. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Use R! |x 2197-5744 | |
| 500 | |a Description d'après consultation du 15 mai 2012 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. p. 357-364 Index p. 365-374 | ||
| 505 | 1 | |a 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings. | ||
| 630 | |a R |n logiciel | ||
| 650 | |a Analyse des données | ||
| 650 | |a Exploration de données | ||
| 776 | 0 | |0 156916304 |t Data mining with rattle and R |o the art of excavating data for knowledge discovery |f Graham Williams |c New York |n Springer |d 2011 |p 1 vol. (XX-374 p.) |s Use R! |z 978-1-4419-9889-7 | |
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| 776 | 0 | |t Data Mining with Rattle and R |b Texte imprimé |z 9781441998910 | |
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