Data Mining Algorithms – Explained Using R
Autor PP Cichoszen Limba Engleză Hardback – 29 ian 2015
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Specificații
ISBN-13: 9781118332580
ISBN-10: 111833258X
Pagini: 716
Dimensiuni: 178 x 252 x 42 mm
Greutate: 1.24 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
ISBN-10: 111833258X
Pagini: 716
Dimensiuni: 178 x 252 x 42 mm
Greutate: 1.24 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
Public țintă
Primary MarketAcademics, students involved with courses on data mining, machine learning, or the R language as well as practitioners that create or use predictive models, particularly (but not necessarily) using the R language environment.
Secondary Market
Researchers in experimental or applied sciences that need to use data mining to create predictive models based on the data collected during their research. As well as students of computer science and related fields and computer scientists and programmers that would like to add some knowledge of data mining to their general background.
Notă biografică
Descriere
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles.