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Advances in Data Mining pp 53–79Cite as

The indiGo Project: Enhancement of Experience Management and Process Learning with Moderated Discourses

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2394))

Abstract

Within this paper we describe the indiGo approach to preparation, moderation, and analysis of discourses to enhance experience management. In the indiGo project this has been exemplified for the process learning domain. indiGo includes an integration of approaches for e-participation, experience management, process modeling and publishing, as well as text mining. We describe both the methodology underlying indiGo and the indiGo platform. In addition, we compare indiGo to related work. Currently a case study is ongoing for an in-depth evaluation of the indiGo approach.

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Authors and Affiliations

  1. Fraunhofer-Institut für Experimentelles Software Engineering (IESE), Sauerwiesen 6, 67661, Kaiserslautern

    Klaus-Dieter Althoff, Ulrike Becker-Kornstaedt, Björn Decker & Jörg Rech

  2. Fraunhofer-Institut für Autonome Intelligente Systeme (AIS), Schloss Birlinghoven, 53754, Sankt Augustin

    Andreas Klotz, Edda Leopold & Angi Voss

Authors
  1. Klaus-Dieter Althoff
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  2. Ulrike Becker-Kornstaedt
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  3. Björn Decker
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  4. Andreas Klotz
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  5. Edda Leopold
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  6. Jörg Rech
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  7. Angi Voss
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Editors and Affiliations

  1. Institute of Computer Vision and Applied Science, August-Bebel-Str. 16-20, 04275, Leipzig, Germany

    Petra Perner

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Althoff, KD. et al. (2002). The indiGo Project: Enhancement of Experience Management and Process Learning with Moderated Discourses. In: Perner, P. (eds) Advances in Data Mining. Lecture Notes in Computer Science(), vol 2394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46131-0_4

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  • DOI: https://doi.org/10.1007/3-540-46131-0_4

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