Data Mining for Business Applications
Edited by Carlos Soares, Rayid Ghani
ISBN 978-1-60750-632-4 (print)
ISBN 978-1-60750-633-1 (online)
$160.00 / € 110,00
Data mining is already incorporated into a wide range of IT systems and processes. It is now also becoming equally important to sectors such as health, retail, automotive, finance, telecom and insurance for both business and government alike. As well as established application areas such as targeted marketing, customer churn and market basket analysis, a wide range of new application areas are evolving, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology.
This book contains extended versions of a selection of papers presented at a series of workshops held between 2005 and 2008 on the subject of data mining for business applications. It covers the entire spectrum of issues in the development of data mining systems. Areas covered include methodological issues and research challenges, typical problems for which data mining has proved to be an invaluable tool, and the emerging applications of data mining.
The contributions illustrate the importance of maintaining close contact between researchers and practitioners: it is essential that researchers are exposed to and motivated by the real problems and practical constraints experienced by organizations, and practitioners need to interact with the research community to identify new opportunities to apply the latest technology.
This book will be of interest not only to data mining researchers and practitioners, but also to students seeking a better understanding of the practical issues involved in building data mining systems.