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/dataset: | 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 |
Files in This Item:
File | Description | Size | Format | |
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paper8.pdf | Published version | 207.89 kB | Adobe PDF | View/Open |
paper_42.pdf | Peer-reviewed author version | 171.63 kB | Adobe PDF | View/Open |
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