Cargando…
Data Mining with Rattle and R
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...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2011
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4419-9890-3 http://cds.cern.ch/record/1414312 |
_version_ | 1780924015078014976 |
---|---|
author | Williams, Graham |
author_facet | Williams, Graham |
author_sort | Williams, Graham |
collection | CERN |
description | 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 va |
id | cern-1414312 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2011 |
publisher | Springer |
record_format | invenio |
spelling | cern-14143122021-04-22T00:39:54Zdoi:10.1007/978-1-4419-9890-3http://cds.cern.ch/record/1414312engWilliams, GrahamData Mining with Rattle and RComputing and ComputersData 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 vaSpringeroai:cds.cern.ch:14143122011 |
spellingShingle | Computing and Computers Williams, Graham Data Mining with Rattle and R |
title | Data Mining with Rattle and R |
title_full | Data Mining with Rattle and R |
title_fullStr | Data Mining with Rattle and R |
title_full_unstemmed | Data Mining with Rattle and R |
title_short | Data Mining with Rattle and R |
title_sort | data mining with rattle and r |
topic | Computing and Computers |
url | https://dx.doi.org/10.1007/978-1-4419-9890-3 http://cds.cern.ch/record/1414312 |
work_keys_str_mv | AT williamsgraham dataminingwithrattleandr |