Mining usage patterns from a repository of scientific workflows

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2012, Pages 152-157

  Diamantini, Claudia ^a   Potena, Domenico ^a   Storti, Emanuele ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

graph mining; hierarchical clustering; process schema mining; scientific workflows; SUBDUE

Indexed keywords

GRAPH MINING; HIER-ARCHICAL CLUSTERING; SCHEMA MINING; SCIENTIFIC WORKFLOWS; SUBDUE;

CLUSTERING ALGORITHMS; WORK SIMPLIFICATION;

EXPERIMENTS;

EID: 84863577271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2245276.2245307     Document Type: Conference Paper

References (13)

1. Joonsoo Bae, James Caverlee, Ling Liu, and Hua Yan. Process mining by measuring process block similarity. In Business Process Management Workshops, volume 4103 of Lecture Notes in Computer Science, pages 141-152. Springer Berlin / Heidelberg, 2006.
2. R. P. Jagadeesh Chandra Bose and Wil M. P. Aalst. Trace clustering based on conserved patterns: Towards achieving better process models. In Business Process Management Workshops, volume 43 of Lecture Notes in Business Information Processing, pages 170-181. Springer Berlin Heidelberg, 2010.
3. T. Calders, C. W. Günther, M. Pechenizkiy, and A. Rozinat. Using minimum description length for process mining. In Proc. of the 2009 ACM symposium on Applied Computing, pages 1451-1455, 2009.
4. De Roure, D., Goble, C. and Stevens, R. The design and realisation of the myexperiment virtual research environment for social sharing of workflows. Future Generation Computer Systems, 25(5):561-567, 2009.
5. Wil M.P. Van der Aalst. Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, 2011.
6. Wil M.P. Van der Aalst and A.J.M.M. Weijters. Process mining: a research agenda. Computers in Industry, 53:231-244, 2004.
7. C. Diamantini and D. Potena. Hierarchical clustering of process schemas. In Proc. of the 3rd Interop-Vlab.It Workshop on Enterprise Interoperability, pages 27-32, Naples, Italy, Oct. 9 2010.
8. G. Greco, A. Guzzo, L. Ponieri, and D. Sacca. Discovering expressive process models by clustering log traces. IEEE Transactions on Knowledge and Data Engineering, 18(8):1010 -1027, aug. 2006.
9. Istvan Jonyer, Diane J. Cook, and Lawrence B. Holder. Graph-based hierarchical conceptual clustering. J. Mach. Learn. Res., 2:19-43, March 2002.
10. Jae-Yoon Jung, Joonsoo Bae, and Ling Liu. Hierarchical business process clustering. In International Conference on Services Computing, volume 2, pages 613 -616, july 2008.
11. Minseok Song, Christian W. Günther, and Wil M. P. Van der Aalst. Trace clustering in process mining. In Business Process Management Workshops, volume 17 of Lecture Notes in Business Information Processing, pages 109-120. Springer, 2008.
12. Yi Wang, Minglu Li, Jian Cao, Xinhua Lin, and Feilong Tang. Workflow similarity measure for process clustering in grid. In Fourth International Conference on Fuzzy Systems and Knowledge Discovery, volume 4, pages 629-635, aug. 2007.
13. Hai Zhuge. A process matching approach for flexible workflow process reuse. Information and Software Technology, 44(8):445-450, 2002.