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  4. Integration and reuse of data mining in business processes - A pattern-based approach
 
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2011
Journal Article
Title

Integration and reuse of data mining in business processes - A pattern-based approach

Abstract
Today's business applications demand high flexibility in processing information and extracting knowledge from data. Thus, data mining becomes more and more an integral part of operating a business. However, the integration of data mining into business processes still requires a lot of coordination and manual adjustment. This paper aims at reducing this effort by reusing successful data mining solutions. We describe a novel approach to facilitating the integration based on process patterns for data mining and demonstrate that these patterns allow for easy reuse and can significantly speed up the process of integration. We empirically evaluate our approach in a case study of fraud detection in the healthcare domain.
Author(s)
Wegener, Dennis  orcid-logo
Rüping, Stefan  
Journal
International journal of business process integration and management : IJBPIM  
Open Access
File(s)
Download (642.24 KB)
DOI
10.24406/publica-r-226507
10.1504/IJBPIM.2011.042526
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • data mining patterns

  • business processes

  • reuse

  • integration

  • BPM

  • CRISP

  • fraud detection

  • healthcare

  • business process management

  • service oriented architecture

  • SOA

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