Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22920
Title: Social Mining as a Knowledge Management Solution
Authors: CREEMERS, Mathijs 
JANS, Mieke 
Issue Date: 2016
Publisher: CEUR Workshop Proceedings
Source: España, Sergio; Ivanović, Mirjana; Savić, Miloš (Ed.). Proceedings of the CAiSE'16 Forum at the 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016), CEUR Workshop Proceedings,p. 57-64
Series/Report: CEUR Workshop Proceedings
Series/Report no.: 1612
Abstract: We introduce knowledge management and identify common problems and challenges. We then introduce social mining, a technique from the field of process mining. We show that the techniques used in social mining could have added value for the knowledge management challenges. We also identify areas for improvement in social mining. The first of these concerns the joint activity metric. We argue that for this metric only correlation measures should be used and the distance measures should be re-evaluated. Next we propose the more detailed use of time information to add value to the existing metrics. Lastly we suggest a way of validating the connection in a social network. As a conclusion we find that social mining can be enhanced in these areas and then used as a tool to tackle knowledge management problems.
Keywords: process Mining; knowledge management; social mining
Document URI: http://hdl.handle.net/1942/22920
Link to publication: http://ceur-ws.org/Vol-1612/paper8.pdf
Rights: Copyright (c) by the paper’s authors. Copying permitted only for private and academic purposes.
Category: C1
Type: Proceedings Paper
Validations: vabb 2018
Appears in Collections:Research publications

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