Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22920
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dc.contributor.authorCREEMERS, Mathijs-
dc.contributor.authorJANS, Mieke-
dc.date.accessioned2016-12-20T09:47:06Z-
dc.date.available2016-12-20T09:47:06Z-
dc.date.issued2016-
dc.identifier.citationEspaña, 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-
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/1942/22920-
dc.description.abstractWe 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.-
dc.language.isoen-
dc.publisherCEUR Workshop Proceedings-
dc.relation.ispartofseriesCEUR Workshop Proceedings-
dc.rightsCopyright (c) by the paper’s authors. Copying permitted only for private and academic purposes.-
dc.subject.otherprocess Mining; knowledge management; social mining-
dc.titleSocial Mining as a Knowledge Management Solution-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsEspaña, Sergio-
local.bibliographicCitation.authorsIvanović, Mirjana-
local.bibliographicCitation.authorsSavić, Miloš-
local.bibliographicCitation.conferencedate13-17 June 2016-
local.bibliographicCitation.conferencenameCAiSE '16: 28th International conference on Advanced Information Systems Engineering-
local.bibliographicCitation.conferenceplaceLjubljana, Slovenia-
dc.identifier.epage64-
dc.identifier.spage57-
local.bibliographicCitation.jcatC1-
local.publisher.placehttp://ceur-ws.org/Vol-1612/-
dc.relation.references1. Van der Aalst, W.M., Song, M.: Mining Social Networks: Uncovering interaction patterns in business processes. In: Business Process Management, pp. 244–260. Springer (2004) 2. Culotta, A., Bekkerman, R., McCallum, A.: Extracting social networks and contact information from email and the web (2004) 3. Davenport, T.H.: Saving IT’s Soul: Human-Centered Information Management. Harvard business review 72(2), 119–31 (1994) 4. Davenport, T.H., Prusak, L.: Working knowledge: How organizations manage what they know. Harvard Business Press (1998) 5. Duhon, B.: It’s all in our heads. Inform 12(8), 8–13 (1998) 6. Farnham, S., Portnoy, W., Turski, A.: Using email mailing lists to approximate and explore corporate social networks. In: Proceedings of the CSCW. vol. 4 (2004) 7. Fisher, D., Dourish, P.: Social and temporal structures in everyday collaboration. In: Proceedings of the SIGCHI conference on Human factors in computing systems. pp. 551–558. ACM (2004) 8. Kazienko, P., Brdka, P., Musial, K., Gaworecki, J.: Multi-layered social network creation based on bibliographic data. In: Social Computing (SocialCom), 2010 IEEE Second International Conference on. pp. 407–412. IEEE (2010) 9. Koenig, M.E.: What is KM? Knowledge Management Explained (May 2012) 10. Song, M., van der Aalst, W.M.P.: Towards comprehensive support for organizational mining. Decision Support Systems 46(1), 300–317 (Dec 2008) 11. Van Der Aalst, W.M., Reijers, H.A., Song, M.: Discovering social networks from event logs. Computer Supported Cooperative Work (CSCW) 14(6), 549–593 (2005) 12. Verbeek, H.M.W., Buijs, J., Van Dongen, B.F., van der Aalst, W.M.: Prom 6: The process mining toolkit. Proc. of BPM Demonstration Track 615, 34–39 (2010)-
local.type.refereedNon-Refereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr1612-
local.identifier.vabbc:vabb:415058-
dc.identifier.urlhttp://ceur-ws.org/Vol-1612/paper8.pdf-
local.bibliographicCitation.btitleProceedings of the CAiSE'16 Forum at the 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016)-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.fullcitationCREEMERS, Mathijs & JANS, Mieke (2016) Social Mining as a Knowledge Management Solution. In: 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.-
item.validationvabb 2018-
item.contributorCREEMERS, Mathijs-
item.contributorJANS, Mieke-
Appears in Collections:Research publications
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