1 |
van der Aalst, W. M. P. and Basten, T. (2002), Inheritance of workflows : An approach to tackling problems related to change, Theoretical Computer Science, 270(1), 125-203.
DOI
ScienceOn
|
2 |
van der Aalst, W. M. P. (2005), Business alignment: using process mining as a tool for Delta analysis and conformance testing, Requirement Engineering, 10(3), 198-211.
DOI
|
3 |
van der Aalst, W. M. P., Reijers, H. A., and Song, M. (2005), Discovering social networks from event logs, Computer Supported Cooperative work, 14(6), 549-593.
DOI
ScienceOn
|
4 |
van der Aalst, W. M. P., van Dongen B. F., Gunther, C. W., Rozinat, A., Verbeek, E., and Weijters, T. (2009), ProM : the process mining toolkit, BPM Demonstration, CEUR Workshop Proceedings, 489, 1-4.
|
5 |
Berry, M. J. A. and Linoff, G. (1997), Data Mining Techniques, John Wiley and Sons, Inc.
|
6 |
Gunther, C. W. and van der Aalst, W. M. P. (2007), Fuzzy mining-Adaptive process simplification based on multi-perspective metrics, BPM Workshops, Lecture Notes in Computer Science, 4714, 328-343.
|
7 |
Jansen-Vullers, M. H., van der Aalst, W. M. P., and Rosemann, M. (2006), Mining configurable enterprise information systems, Data and Knowledge Engineering, 56(3), 195-244.
DOI
ScienceOn
|
8 |
Lee, S., Kim, J., and Moon, I. (2011), Deployment planning of blocks from storage yards using a tabu search algorithm, Journal of the korean institute of industrial engineers, 37(3), 198-208.
과학기술학회마을
DOI
ScienceOn
|
9 |
Lee, S., Kim, B., Huh, M., Cho, S., Park, S., and Lee, D. (2013), Mining transportation logs for understanding the after-assembly block manufacturing process in the shipbuilding industry, Expert Systems with Applications, 40(1), 83-95.
DOI
|
10 |
de Medeiros, A. K. Alves, Weijters, A. J. M. M., and van der Aalst, W. M. P. (2007), Genetic Process Mining : An Experimental Evaluation, Data Mining and Knowledge Discovery, 14(2), 245-304.
DOI
ScienceOn
|
11 |
Park, C. and Seo, J. (2012), A GRASP apporach to transporter scheduling and routing at a shipyard, Computer and Industrial Engineering, 63, 390-399.
DOI
ScienceOn
|
12 |
Rozinat, A. and van der Aalst, W. M. P. (2006), Decision Mining in ProM, Proc. 4th Int. Conf. on Business Process Management, 420-425.
|
13 |
Song, M., Gunther C. W., and van der Aalst, W. M. P. (2009), Trace clustering in process mining, BPM 2008 Workshops, Lecture Notes in Business Information Processing, 17, 109-120.
|
14 |
Veiga, G. M. and Ferreira, D. R. (2010), Understanding Spaghetti Models with Sequence Clustering for ProM, BPM 2010 Workshops, Lecture Notes in Business Information Processing, 43, 92-103.
|
15 |
de Weerdt, J., de Backer, M., Vanthienen, J., and Baesens, B. (2012), A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs, Information Systems, 37, 654-676.
DOI
ScienceOn
|
16 |
Yahya, B. N., Park, J. H., Bae, H. and Mo, J. K. (2011), Similarity measurement using ontology in vessel clearance process, Journal of the korean institute of industrial engineers, 37(2), 153-162.
과학기술학회마을
DOI
ScienceOn
|
17 |
Yu, Y.-W., Kim, S., and Bae, H. (2012), Business process modeling using process structure constraints and social relations, IE Interfaces, 25(3), 300-308.
DOI
ScienceOn
|