Business models enhancement through discovery of roles

Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 103-110

  Burattin, Andrea ^a   Sperduti, Alessandro ^a   Veluscek, Marco ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b SIAV SpA   (Italy)

Author keywords

organizational mining; process enhancement; process mining; social network analysis

Indexed keywords

AUTOMATICALLY GENERATED; BUSINESS PROCESS; BUSINESS PROCESS MODEL; DISCOVERY ALGORITHM; GROUP ACTIVITIES; PROCESS ENHANCEMENTS; PROCESS MINING; PROCESS REPRESENTATION;

ALGORITHMS; DATA MINING; SOCIAL NETWORKING (ONLINE);

ARTIFICIAL INTELLIGENCE;

EID: 84885642180     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2013.6597224     Document Type: Conference Paper

References (14)

1. IEEE Task Force on Process Mining, "Process Mining Manifesto," in Business Process Management Workshops, F. Daniel, K. Barkaoui, and S. Dustdar, Eds. Springer-Verlag, 2011, pp. 169-194.
2. W. M. P. van der Aalst, Process Mining: Discovery, Conformance and Enhancement of Business Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.
3. M. Song and W. M. P. van der Aalst, "Towards comprehensive support for organizational mining," Decision Support Systems, vol. 46, no. 1, pp. 300-317, Dec. 2008.
4. W. M. P. van der Aalst, H. A. Reijers, and M. Song, "Discovering Social Networks from Event Logs," Computer Supported Cooperative Work (CSCW), vol. 14, no. 6, pp. 549-593, Oct. 2005.
5. W. M. P. van der Aalst, A. Adriansyah, and B. van Dongen, "Replaying History on Process Models for Conformance Checking and Performance Analysis," Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 182-192, Mar. 2012.[Online]. Available: http://doi.wiley.com/10.1002/widm.1045
6. R. Elmasri and S. B. Navathe, Fundamentals of Database Systems, 6th ed. Addison-Wesley, 2010.
7. A. Syropoulos, "Mathematics of Multisets," in Multiset Processing, C. Calude, G. Paun, G. Rozenberg, and A. Salomaa, Eds. Springer Berlin / Heidelberg, 2001, pp. 347-358.
8. R. A. Brualdi, Introductory Combinatorics, 5th ed. Pearson Prentice Hall, 2009.
9. I. H. Witten, F. Eibe, and M. A. Hall, Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed. Morgan Kaufman, 2011.
10. T. H. Cormen, C. Stein, R. L. Rivest, and C. E. Leiserson, Introduction to Algorithms, 2nd ed. The MIT Press, Sep. 2001.
11. C. E. Shannon, "A Mathematical Theory of Communication," The Bell System Technical Journal, vol. 27, pp. 379-423 &623-656, 1948.
12. E. H. M. W. Verbeek, J. Buijs, B. van Dongen, and W. M. P. van der Aalst, "ProM 6: The Process Mining Toolkit," in BPM 2010 Demo, 2010, pp. 34-39.
13. C. D. Manning, P. Raghavan, and H. Schutze, Introduction to Information Retrieval, 1st ed. Cambridge University Press, Jun. 2008, vol. 35, no. 2.
14. A. Burattin and A. Sperduti, "PLG: A Framework for the Generation of Business Process Models and their Execution Logs," in Business Process Management Workshops (BPI). Hoboken, New Jersey, USA: Springer Berlin Heidelberg, 2010, pp. 214-219.