20142018
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Keywords

  • Machine Learning
  • Data Mining

Fingerprint Dive into the research topics where Ron Triepels is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Freight transportation Engineering & Materials Science
Bayesian networks Engineering & Materials Science
Supply chains Engineering & Materials Science
Trajectories Engineering & Materials Science
Logistics Engineering & Materials Science
Data mining Engineering & Materials Science
Industry Engineering & Materials Science
Visibility Engineering & Materials Science

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Research Output 2014 2018

Data driven fraud detection in international shipping

Triepels, R., Daniels, H. & Feelders, A. J., Jun 2018, In : Expert Systems with Applications. 99, p. 193-202

Research output: Contribution to journalArticleScientificpeer-review

Freight transportation
Bayesian networks
Topology
Personnel
Industry

Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression

Triepels, R., Daniels, H. & Heijmans, R., 2018, (Accepted/In press) tba. Heidelberg: Springer Verlag, (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Detection and explanation of anomalous payment behavior in real-time gross settlement systems

Triepels, R., Daniels, H. & Heijmans, R., 2018, Enterprise Information Systems: 19th International Conference, ICEIS 2017. Hammoudi, S., Smialek, M., Camp, O. & Filipe, J. (eds.). Cham: Springer Verlag, p. 145-161 (Lecture Notes in Business Information Processing; vol. 321).

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

Anomaly detection in real-time gross payment data

Triepels, R., Daniels, H. & Heijmans, R., Jun 2017.

Research output: Contribution to conferencePaperOther research output

Anomaly detection in real-time gross payment data

Triepels, R., Daniels, H. & Heijmans, R., 2017, Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS 2017). Camp, O. & Filipe, J. (eds.). SciTePress, p. 433-441

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

Activities 2017 2017

  • 1 Invited talk

Anomaly detection in real-time gross payment data

Ron Triepels (Speaker), Hennie Daniels (Speaker), R. Heijmans (Speaker)
7 Jun 2017

Activity: Talk or presentation typesInvited talkProfessional

Prizes / Recognition