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Data mining applications with R /
Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many diff...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Academic Press, an imprint of Elsevier,
2013.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Power grid data analysis with R and Hadoop
- 2. Picturing Bayesian classifiers : a visual data mining approach to parameters optimization
- 3. Discovery of emergent issues and controversies in anthropology using text mining, topic modeling, and social network analysis of microblog content
- 4. Text mining and network analysis of digital libraries in R
- 5. Recommender systems in R
- 6. Response modeling in direct marketing : a data mining-based approach for target selection
- 7. Caravan insurance customer profile modeling with R
- 8. Selecting best features for predicting bank loan default
- 9. A Choquet integral toolbox and its application in customer preference analysis
- 10. A real-time property value index based on web data
- 11. Predicting seabed hardness using Random Forest in R
- 12. Supervised classification of images, applied to plankton samples using R and Zooimage
- 13. Crime analyses using R
- 14. Football mining with R
- 15. Analyzing Internet DNS(SEC) traffic with R for resolving platform optimization.