Graph-based workflow recommendation: On improving business process modeling

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 1527-1531

  Cao, Bin ^a   Yin, Jianwei ^a   Deng, Shuiguang ^a   Wang, Dongjing ^a   Wu, Zhaohui ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

business process modeling; graph edit distance; graph based; workflow recommendation

Indexed keywords

BUSINESS PROCESS; BUSINESS PROCESS MODELING; CANDIDATE NODES; GRAPH EDIT DISTANCE; GRAPH MINING; GRAPH-BASED; PERFORMANCE STUDY; PROCESS MODEL; PROCESS PATTERNS; RECOMMENDATION TECHNIQUES; REFERENCE MODELS; START POINT; WORKFLOW RECOMMENDATION;

GRAPHIC METHODS; INDUSTRIAL ENGINEERING; KNOWLEDGE MANAGEMENT; MANAGEMENT SCIENCE; MINING; SYSTEMS ENGINEERING;

MATHEMATICAL MODELS;

EID: 84871036316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2396761.2398466     Document Type: Conference Paper

References (6)

1. W. M. P. V. D. Aalst and L. Maruster.Workflow Mining: Discovering Process Models from Event Logs. IEEE Transactions on Knowledge and Data Engineering, 16:1128-1142, 2004.
2. H. Bunke. On a relation between graph edit distance and maximum common subgraph. Pattern Recognition Letters, 18(8):689-694, 1997.
3. R. Dijkman, M. Dumas, and L. García-Bañuelos. Graph matching algorithms for business process model similarity search. Business Process Management, pages 48-63, 2009.
4. R. Dijkman, M. Dumas, B. Van Dongen, R. Käärik, and J. Mendling. Similarity of business process models: Metrics and evaluation. Information Systems, 36(2):498-516, 2011.
5. X. Yan and J. Han. gSpan: Graph-Based Substructure Pattern Mining. In IEEE International Conference on Data Mining, pages 721-724, 2002.
6. J. Zhang, Q. Liu, and K. Xu. Flowrecommender: a workflow recommendation technique for process provenance. In Proceedings of the 8th Australasian Data Mining Conference (AusDM 2009): Data Mining and Analytics 2009. ACS Press, 2009.