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On Integrating Data Mining into Business Processes

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Business Information Systems (BIS 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 47))

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Abstract

Integrating data mining into business processes becomes crucial for business today. Modern business process management frameworks provide great support for flexible design, deployment and management of business processes. However, integrating complex data mining services into such frameworks is not trivial due to unclear definitions of user roles and missing flexible data mining services as well as missing standards and methods for the deployment of data mining solutions. This work contributes an integrated view on the definition of user roles for business, IT and data mining and discusses the integration of data mining in business processes and its evaluation in the context of BPR.

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Author information

Authors and Affiliations

  1. Fraunhofer IAIS, Schloss Birlinghoven, 53754, Sankt Augustin, Germany

    Dennis Wegener & Stefan Rüping

Authors
  1. Dennis Wegener
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  2. Stefan Rüping
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Editor information

Editors and Affiliations

  1. Department of Information Systems, Poznań University of Economics, Al. Niepodległości 10, 61-875, Poznań, Poland

    Witold Abramowicz

  2. Institut für Informatik, Freie Universität Berlin, Takustr. 9, 14195, Berlin, Germany

    Robert Tolksdorf

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© 2010 Springer-Verlag Berlin Heidelberg

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Wegener, D., Rüping, S. (2010). On Integrating Data Mining into Business Processes. In: Abramowicz, W., Tolksdorf, R. (eds) Business Information Systems. BIS 2010. Lecture Notes in Business Information Processing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12814-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-12814-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12813-4

  • Online ISBN: 978-3-642-12814-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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