Real World Data Mining Applications

Real World Data Mining Applications

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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.1 Block diagram of the system which is comprised of an optimizer neural network that computes the optimum cruise set point ... In [9], a recurrent neural network controller was proposed for improving the fuel efficiency of a Toyota Prius hybrid anbsp;...

Title:Real World Data Mining Applications
Author:Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock, Gary M. Weiss
Publisher:Springer - 2014-11-13


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