Data Mining for Business:Concepts, Techniques and Applications in R
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) t...
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| Other Authors: | , , , |
| Format: | Book |
| Language: | English |
| Published: |
New Delhi
Wiley India Pvt. Ltd.
2018
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| 100 | |a Shmueli, Galit |9 3858 | ||
| 245 | |a Data Mining for Business:Concepts, Techniques and Applications in R | ||
| 260 | |a New Delhi |b Wiley India Pvt. Ltd. |c 2018 | ||
| 300 | |a xxx, 544 p. | ||
| 520 | |a Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. | ||
| 650 | |a Business - Data Processing |9 3859 | ||
| 700 | |a Bruce, Peter C. |9 3860 | ||
| 700 | |a Yahav, Inbal |9 3861 | ||
| 700 | |a Patel, Nitin R. |9 3862 | ||
| 700 | |a Lichtendahl Jr., Kenneth C. |9 3863 | ||