• 41 Citations
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Fingerprint Dive into the research topics where Alifah Syamsiyah is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Process Mining Mathematics
Relational Database Mathematics
Ontology Engineering & Materials Science
Information systems Engineering & Materials Science
Business Process Mathematics
Social Networks Mathematics
Data acquisition Engineering & Materials Science
Feedback Engineering & Materials Science

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Research Output 2014 2019

  • 41 Citations
  • 10 Conference contribution
  • 2 Article

Enabling efficient process mining on large data sets: realizing an in-database process mining operator

Dijkman, R., Gao, J., Syamsiyah, A., van Dongen, B., Grefen, P. & ter Hofstede, A., 19 May 2019, In : Distributed and Parallel Databases.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Mathematical operators
Data base
Process mining
1 Downloads (Pure)

Improving alignment computation using model-based preprocessing

Syamsiyah, A. & van Dongen, B. F., 1 Jun 2019, Proceedings - 2019 International Conference on Process Mining, ICPM 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 73-80 8 p. 8786043

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

Process model
2 Citations (Scopus)
1 Downloads (Pure)

A native operator for process discovery

Syamsiyah, A., van Dongen, B. F. & Dijkman, R. M., 1 Jan 2018, Database and Expert Systems Applications - 29th International Conference, DEXA 2018, Proceedings. Pernul, G., Hartmann, S., Ma, H., Hameurlain, A. & Wagner, R. R. (eds.). Springer, p. 292-300 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11030 LNCS).

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

Information systems
Data storage equipment
Process Mining
Relational Database
3 Citations (Scopus)
1 Downloads (Pure)

DB-XES: enabling process discovery in the large

Syamsiyah, A., van Dongen, B. F. & van der Aalst, W. M. P., 2018, Data-Driven Process Discovery and Analysis: 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers. Ceravolo, P., Guetl, C. & Rinderle-Ma, S. (eds.). Dordrecht: Springer, p. 53-77 25 p. (Lecture Notes in Business Information Processing; vol. 307).

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

Data storage equipment
Relational Database
Data structures

Native directly follows operator

Syamsiyah, A., Dongen, B. F. V. & Dijkman, R. M., 5 Jun 2018, In : arXiv. 12 p.

Research output: Contribution to journalArticleAcademic

Open Access
Information systems

Student theses

Process discovery in Neo4j

Author: Aguilera Loman, P., 27 May 2019

Supervisor: van Dongen, B. (Supervisor 1) & Syamsiyah, A. (Supervisor 2)

Student thesis: Master