Data mining applications range from commercial to social domains with novel applications
appearing swiftly for example within the context of social networks. The expanding
application sphere and social reach of advanced data mining raise pertinent issues of privacy
and security. Present-day data mining is a progressive multidisciplinary endeavor. This inter-
and multidisciplinary approach is well reflected within the field of information systems. The
information systems research addresses software and hardware requirements for supporting
computationally and data-intensive applications. Furthermore it encompasses analyzing system
and data aspects and all manual or automated activities. In that respect research at the
interface of information systems and data mining has significant potential to produce
actionable knowledge vital for corporate decision-making. The aim of the proposed volume is to
provide a balanced treatment of the latest advances and developments in data mining in
particular exploring synergies at the intersection with information systems. It will serve as
a platform for academics and practitioners to highlight their recent achievements and reveal
potential opportunities in the field. Thanks to its multidisciplinary nature the volume is
expected to become a vital resource for a broad readership ranging from students throughout
engineers and developers to researchers and academics.
