This book introduces into using R for data mining. Data mining techniques arewidely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing tendency to do data mining with R, a free software environment for statistical computing and graphics. According to a poll by KDnuggets.com in early 2011, R is the 2nd popular tool fordata mining work. By introducing into using R for data mining, this book willhave a broad audience from both academia and industry. It targets researchersin the field of data mining, postgraduate students who are interested in datamining, as well as data miners and analysts from industry. For example, many universities have courses on data mining, and the proposed book will be a useful reference for students learning data mining in those courses. There are also many training courses on data mining in industry, such as training by SAS and IBM on data mining. The book will be interested to the course learners as well. The book will present an introduction into using R for data mining applications, coving most popular data mining techniques. Code examples and data willbe provided, so that readers can easily learn the techniques. Case studies inreal-world applications will be covered, which will help readers to apply thetechniques in their work.
- ISBN: 978-0-12-396963-7
- Editorial: Academic Press
- Encuadernacion: Cartoné
- Páginas: 300
- Fecha Publicación: 31/01/2013
- Nº Volúmenes: 1
- Idioma: Inglés