Mining association rules to support resource allocation in business process management

Expert Systems with Applications

Volumn 38, Issue 8, 2011, Pages 9483-9490

  Huang, Zhengxing ^a   Lu, Xudong ^a   Duan, Huilong ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Association rules; Business process management; Data mining; Resource allocation

Indexed keywords

ASSOCIATION RULE MINING; BUSINESS PROCESS EXECUTION; BUSINESS PROCESS MANAGEMENT; CT-SCAN; EFFICIENT ALGORITHM; EVALUATION RESULTS; EXAMINATION PROCESS; MINING ASSOCIATION RULES; SET OF RULES;

ALGORITHMS; ASSOCIATION RULES; COMPUTERIZED TOMOGRAPHY; DATA MINING; ENTERPRISE RESOURCE MANAGEMENT; RADIOLOGY; RESOURCE ALLOCATION;

INFORMATION MANAGEMENT;

EID: 79953688532     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.01.146     Document Type: Article

References (14)

1. Agrawal, R.; Imielinski, T.; & Swami, A. (1993). Mining association rules between sets of items in large databases. In Proceedings of the ACM SIGMOD international conference on management of data (pp. 207-216).
2. R. Agrawal, and R. Srikant Fast algorithms for previous termining association rules Proceedings of the International Conference on Very Large Data Bases 1995 407 419
3. G. Greco, A. Guzzo, and L. Pontieri Mining taxonomies of process models Data and Knowledge Engineering 67 1 2008 74 102
4. S. Khodakaram, and W. Mike Petri net-based modelling of workflow systems: An overview European Journal of Operational Research 134 3 2001 664 676
5. E. Lazcorreta, F. Botella, and A. Fernndez-Caballero Towards personalized recommendation by two-step modified Apriori data mining algorithm Expert Systems with Applications 35 3 2008 1422 1429
6. Yingbo Liu, Jianmin Wang, Yun Yang, and Jiaguang Sun A semi-automatic approach for workflow staff assignment Computers in Industry 59 2008 463 476
7. L.T. Ly, S. Rinderle, P. Dadam, and M. Reichert Mining staff assignment rules from event-based data Lecture Notes in Computer Science 3812 2006 177 190
8. K. Rajasethupathy, A. Scime, K.S. Rajasethupathy, and G.R. Murray Finding persistent rules: Combining association and classification results Expert Systems with Applications 36 3 2009 6019 6024
9. Russell, N.; ter Hofstede, A. H. M.; Edmond, D.; & van der Aalst, W. M. P. (2005). Workflow resource patterns. Eindhoven: Eindhoven University of Technology.
10. D. Snchez, M.A. Vila, L. Cerda, and J.M. Serrano Association rules applied to credit card fraud detection Expert Systems with Applications 36 2 2009 3630 3640
11. Weka. (2009). .
12. S. Wesley Changchien, and T-C. Lu Mining association rules procedure to support on-line recommendation by customers and products fragmentation Expert Systems with Applications 20 4 2001 325 335 (Pubitemid 32404843)
13. Jinyan Zhang, Xudong Lu, Hongchao Nie, Zhengxing Huang, and W.M.P. van der Aalst Radiology information system: a workflow-based approach International Journal of Computer Assisted Radiology and Surgery 4 5 2009 509 516
14. M. zur Muehlen Organizational management in workflow applications-issues and perspectives Information Technology Management 5 2004 271 291