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2012 | 1 | 4 | 293-304

Article title

EVENT LOG STANDARDS IN BPM DOMAIN

Content

Title variants

Languages of publication

EN

Abstracts

EN
Automated Business Process Discovery (alias Process Intelligence, Process Analysis, Workflow Mining or Process Mining) includes methods, standards and tools to support the discovery and analysis of operational business processes. Paper aims to review ongoing standards for storing and managing event log data, which is starting point for process mining, and verify in what range chosen standards meet the needs of event log analysis. We discuss CWAD, BPAF, PROV-DM, PROV-O, MXML, SA-MXML, and XES formats. Findings of the paper are based on the literature review and analysis of selected software.

Year

Volume

1

Issue

4

Pages

293-304

Physical description

Dates

published
2012

Contributors

author
  • Department of Computer Science, Management Faculty, University of Łódź
  • Department of Computer Science, Management Faculty, University of Łódź

References

  • Ballard C., White C., McDonald S., Myllymaki J., McDowell S., Goerlich O., Neroda A., (2005) Business Performance Management... Meets Business Intelligence. Inter-national Business Machines Corporation.
  • Becker J., Matzner M., Müller O., Walter M., (2011) A Review of Event Formats as Enablers of event-driven BPM. In: Proceedings of the 5th International Workshop on event-driven Business Process Management (edBPM 2011), Lecture Notes in Business Information Processing. Clermont-Ferrand, France.
  • Belhajjame K., Missier P., Goble C.A., (2012) Detecting Duplicate Records in Workflow Results. In: Proceedings IPAW’12. Springer-Verlag.
  • Buhler P., (2012) Toward the Semantic Processing of Business Process Events. In: Proceedings of the SOA Cloud Service Technology Symposium. London, UK.
  • Dasgupta D., Rodrígueza J., Balachandran S., (2006) Mining security events in a distributed agent society. In: Proceedings of Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security Conference. SPIE.
  • de Medeiros A., Karla A., van der Aalst W., Pedrinaci C., (2008) Semantic Process Mining Tools: Core Building Blocks. ECIS 2008 Proceedings. Paper 96. http://aisel.aisnet.org/ecis2008/96.
  • Folino F., Greco G., Guzzo A., Pontieri L., (2009) Discovering Multiperspective Process Models: The Case of Loosely-Structured Processes. in: Filipe J., Cordeiro J. (eds.), Enterprise Information Systems 10th International Conference, ICEIS 2008, Barcelona, Spain, June 12-16, 2008, Revised Selected Papers. 2009, XVII, 361 p., Springer.
  • McLellan M., (1996) Workflow Metrics. One of the great benefits of workflow management. In: Oesterle, H., Vogler, P. (eds.) Praxis des Workflow-Management, pp. 301-318, Vieweg, Braunschweig.
  • Moreau L., Missier P. (eds.), (2012) PROV-DM: The PROV Data Model. W3C.
  • Schroder M. (ed.), (2012) Emotion Markup Language (EmotionML) 1.0. W3C.
  • Shukla V., (2011) Extending Oracle CEP with Predictive Analytics. Retrieved from: https://blogs.oracle.com/CEP/entry/extending_oracle_cep_with_pred. 19.10.2012.
  • van der Aalst W.M.P., Weijter A.J.M.M., Maruster L., (2003) Workflow Mining: Discovering process models from event logs. In: IEEE Transactions on Knowledge and Data Engineering, vol 16.
  • zur Muehlen M., (2002) Workflow-based Process Controlling. Foundation, Design, and Application of Workflow-driven Process Information Systems. Logos Verlag.
  • zur Muehlen M., Swenson K.D, (2010) BPAF: A Standard for the Interchange of Pro-cess Analytics Data (September 3, 2010). Business Process Management Workshops: BPM 2010 International Workshops and Education Track, Hoboken, NJ, USA, September 13-15, 2010. Available at SSRN: http://ssrn.com/abstract=2030857
  • The Workflow Management Coalition, (1998) Workflow Management Coalition Audit Data Specification. The Workflow Management Coalition Specification.
  • Saravanan M.S, Rama Sree R.J, (2011) Application of Mining Algorithms using ProM and Weka Tools. IJCST Vol. 2, Issue 3, September 2011.
  • van Dongen B.F., van der Aalst W.M.P., (2005) A Meta Model for Process Mining Data. In Proceedings of the CAiSE WORKSHOPS, volume 2. FEUP.
  • Gunther C. W., (2009) XES Standard Definition. 1.0. http://www.xes-standard.org/
  • Becker J., Matzner M., Muller O., Walter M., A Review of Event Formats as Enablers of event-driven BPM. http://www.springerlink.com/content/jjr464703773r1w3/ (access: 12.X.2012)

Document Type

Publication order reference

Identifiers

ISSN
2084-5537

YADDA identifier

bwmeta1.element.desklight-7b0c46df-a3f4-4c19-ab47-7a7be6e50b67
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