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Thoughts on text mining in organizational process learning

: Rech, J.; Althoff, K.-D.; Decker, B.; Klotz, A.; Leopold, E.; Voss, A.

Gesellschaft für Informatik -GI-, Bonn:
LLA '02: Lehren - Lernen - Adaptivität : Workshop week of special interest groups Maschine Learning (FGML), Intelligent Tutorial Systems (ILLS) and Adaptivity and User Modeling in Interactive Systems (ABIS) of the GI (German Computer Society)
Hannover, 2002
S.113-120 : Ill., Lit.
Workshopwoche "Lehren - Lernen - Adaptivität" <2002, Hannover>
Fraunhofer IESE ()
process improvement; organizational process learning; text mining; e-discussion; distributed process inspection; distributed process evolution

Software organizations and projects frequently experience the problem that their process models are not based on lessons learned in the process usage and are not well accepted by their users. One typical solution is to evolve the process model by a handful of experts time after time. In this paper we present a method for organizational process learning based on eDiscussions, text mining, experience management, and process evolution. It helps an organization to learn about their processes and process modeling techniques, and enables it to collect valuable experiences from process users.