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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Process Model Mathematics
Industry Engineering & Materials Science
Enterprise resource planning Engineering & Materials Science
Business Process Mathematics
Mining Mathematics
Hybrid Model Mathematics
Acoustic waves Engineering & Materials Science
Modeling Mathematics

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Research Output 2012 2018

  • 9 Conference contribution
  • 5 Article
  • 1 Paper

5th international workshop on declarative/decision/hybrid mining and modeling for business processes (DeHMIMoP’17)

Vanthienen, J., Di Ciccio, C., Reijers, H. A., Slaats, T., Schunselaar, D. & Debois, S., 2018, Business Process Management Workshops - BPM 2017 International Workshops, Revised Papers. Springer/Verlag, p. 525-528 4 p. (Lecture Notes in Business Information Processing; vol. 308)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Business Process
Mining
Work Flow
Modeling
Hybrid Modeling

Mining hybrid business process models: A quest for better precision

Schunselaar, D. M. M., Slaats, T., Maggi, F. M., Reijers, H. A. & van der Aalst, W. M. P., 2018, Business Information Systems - 21st International Conference, BIS 2018, Proceedings. Springer/Verlag, p. 190-205 16 p. (Lecture Notes in Business Information Processing; vol. 320)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Business Model
Business Process
Process Model
Mining
Miners
File
Key performance indicators
Software
Tailoring
Vendors

NEXT: Generating Tailored ERP Applications from Ontological Enterprise Models: Generating tailored ERP applications from ontological enterprise models

Van Der Schuur, H., Van De Ven, E., De Jong, R., Schunselaar, D., Reijers, H. A., Overeem, M., De Graaf, M., Jansen, S. & Brinkkemper, S., 2017, The Practice of Enterprise Modeling - 10th IFIP WG 8.1. Working Conference, PoEM 2017, Proceedings. Springer/Verlag, Vol. 305, p. 283-298 16 p. (Lecture Notes in Business Information Processing; vol. 305)

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Enterprise Resource Planning
Enterprise resource planning
Industry
Software
Model

Predicting treatment repetitions in the implant denture therapy process

Bakhshandeh, M., Schunselaar, D. M. M., Leopold, H. & Reijers, H. A., 2017, p. 1259-1264

Research output: Contribution to ConferencePaperAcademic