Probabilistic Social Process Mining

  • This thesis explores the possibilities of probabilistic process modelling for the Computer Supported Cooperative Work (CSCW) systems in order to predict the behaviour of the users present in the CSCW system. Toward this objective applicability, advantages, limitations and challenges of probabilistic modelling are excavated in context of CSCW systems. Finally, as a primary goal seven models are created and examined to show the feasibilities of probabilistic process discovery and predictions of the users behaviour in CSCW systems.

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Metadaten
Author:Rahul Arora
URN:urn:nbn:de:kola-15160
Referee:Patrick Delfmann, Carl Corea
Document Type:Master's Thesis
Language:English
Date of completion:2017/10/30
Date of publication:2017/11/02
Publishing institution:Universität Koblenz-Landau, Universitätsbibliothek
Granting institution:Universität Koblenz-Landau, Campus Koblenz, Fachbereich 4
Date of final exam:2017/10/30
Release Date:2017/11/02
Number of pages:103
Institutes:Fachbereich 4 / Institut für Wirtschafts- und Verwaltungsinformatik
Licence (German):License LogoEs gilt das deutsche Urheberrecht: § 53 UrhG

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