Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high
Data mining and business analitics with R
โ Scribed by Ledolter, Johannes
- Publisher
- Wiley
- Year
- 2013
- Tongue
- English
- Leaves
- 365
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Archivi di dati--Gestione;Archivi di dati--Recupero dell'informazione;Elaboratori elettronici--Linguaggio R;Archivi di dati -- Gestione;Elaboratori elettronici -- Linguaggio R;Archivi di dati -- Recupero dell'informazione
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<p>Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large h
Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high
<p><b><i>Data Mining for Business Analytics: Concepts, Techniques, and Applications in R </i></b><b>presents an applied approach to data mining concepts and methods, using R software for illustration</b></p> <p>Readers will learn how to implement a variety of popular data mining algorithms in R (a f
<b><i>Data Mining for Business Analytics: Concepts, Techniques, and Applications in R</i>presents an applied approach to data mining concepts and methods, using R software for illustration</b><br /><br />Readers will learn how to implement a variety of popular data mining algorithms in R (a free and