Data Science Using Oracle Data Miner and Oracle R Enterprise : Transform Your Business Systems into an Analytical Powerhouse /

Detalles Bibliográficos
Autor principal: Das, Sibanjan. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: eBook
Lenguaje:English
Publicado: Berkeley, CA : Apress : Imprint: Apress, 2016.
Edición:1st ed. 2016.
Materias:
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020 |a 9781484226148 
024 7 |a 10.1007/978-1-4842-2614-8  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
100 1 |a Das, Sibanjan.  |e author. 
245 1 0 |a Data Science Using Oracle Data Miner and Oracle R Enterprise :  |b Transform Your Business Systems into an Analytical Powerhouse /  |c by Sibanjan Das. 
250 |a 1st ed. 2016. 
260 # # |a Berkeley, CA :  |b Apress :  |b Imprint: Apress,  |c 2016. 
300 |a XXII, 289 p. 318 illus., 289 illus. in color. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
505 0 |a Introduction Chapter 1 : Getting Started with Oracle Advanced Analytics -- Chapter 2 : Installation and Hello World -- Chapter 3: Clustering Methods -- Chapter 4: Association Rules -- Chapter 5: Regression Analysis -- Chapter 6: Classification Techniques -- Chapter 7: Advanced Topics -- Chapter 8: Solution Deployment. 
650 0 |a Big data. 
650 0 |a Database management. 
650 0 |a Programming languages (Electronic computers). 
650 1 4 |a Big Data. 
650 2 4 |a Database Management. 
650 2 4 |a Programming Languages, Compilers, Interpreters. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks