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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Dades bibliogràfiques
Autor principal: Williams, Graham
Format: Livre numérique
Idioma:Anglais
Publicat: New York, NY : Springer New York [20..].
Cham : Springer Nature
Edició:1st ed. 2011.
Col·lecció:Use R!
Matèries:
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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
Descripció
Sumari: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.
Descripció de l’ítem:Description d'après consultation du 15 mai 2012
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Bibliografia:Bibliogr. p. 357-364 Index p. 365-374
ISBN:9781441998903
ISSN:2197-5744
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017