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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| 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, Universitätsbibliothek |
| Granting institution: | Universität 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): |  Es gilt das deutsche Urheberrecht: § 53 UrhG |
