This book contains extended versions of workshop papers from 2005 to 2008 on data mining for business applications. Areas covered include methodological issues and research challenges, typical problems, and the emerging applications.
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
DESCRIPTION
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.
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