Projects per year
Fingerprint Dive into the research topics where Marwan Hassani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Clustering algorithms
Engineering & Materials Science
Data storage equipment
Engineering & Materials Science
Data mining
Engineering & Materials Science
Query processing
Engineering & Materials Science
Hidden Markov models
Engineering & Materials Science
Miners
Engineering & Materials Science
Experiments
Engineering & Materials Science
Data acquisition
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2021
- 1 Active
Business Process Re-engineering and functional toolkit for GDPR compliance
van Dongen, B., Hassani, M., den Braven, J., den Braven, J., Medeiros de Carvalho, R., van der Avoird, M., van Dongen, B., Verbeek, E., Zaman, R. & Mozafari Mehr, A.
1/05/18 → 30/04/21
Project: Research direct
Research Output 2009 2019
An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models
Cuzzocrea, A., Mumolo, E. & Hassani, M., 16 Jan 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers, p. 2953-2959 7 p. 8616498Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Learning systems
Data storage equipment
Markov model
Machine Learning
Scenarios
Ensemble-based prediction of business processes bottlenecks with recurrent concept drifts
Spenrath, Y. & Hassani, M., 1 Jan 2019, Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference: Lisbon, Portugal, March 26, 2019. Papotti, P. (ed.). CEUR-WS.org, 8 p. (CEUR Workshop Proceedings; vol. 2322)Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
File
Industry
On the application of sequential pattern mining primitives to process discovery: overview, outlook and opportunity identification
Hassani, M., van Zelst, S. J. & van der Aalst, W. M. P., 1 Jan 2019, In : Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.Research output: Contribution to journal › Review article › Academic › peer-review
Data mining
Optimizing customer journey using process mining and sequence-aware recommendation
Terragni, A. & Hassani, M., 8 Apr 2019, SAC '19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. New York: Association for Computing Machinery, Inc, p. 57-65 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Recommender systems
World Wide Web
Websites
Feedback
Industry
Overview of efficient clustering methods for high-dimensional big data streams
Hassani, M., 1 Jan 2019, Clustering Methods for Big Data Analytics. Nasraoui, O. & Ben N'Cir, C-E. (eds.). Cham: Springer, p. 25-42 18 p. (Unsupervised and Semi-Supervised Learning)Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Clustering algorithms
Data mining
Sensors
Big data
Courses
Student theses
Analyzing customer journey with process mining: from discovery to recommendations
Author: Terragni, A., 24 Sep 2018Supervisor: Hassani, M. (Supervisor 1), Vitali, M. (External person) (External coach) & Carrá, A. (External person) (External coach)
Student thesis: Master
File
Comparative analysis of standard and process mining-based IT-auditing approaches
Author: Maliepaard, B., 25 Sep 2017Supervisor: Fahland, D. (Supervisor 1), Hassani, M. (Supervisor 2), Dijkman, R. (Supervisor 2) & van der Waerdt, T. (External person) (External coach)
Student thesis: Master
File
Effective steering of customer journeys via context-aware recommendations: introducing OARA, the Order Aware Recommendation Approach
Author: Goossens, J., 29 Oct 2018Supervisor: Hassani, M. (Supervisor 1), Neergaard, M. (External person) (External coach) & Eshuis, R. (Supervisor 2)
Student thesis: Master
File
On the potential for machine learning in prediction of insurance policy sales: helping insurance intermediaries get insights in their clients' insurance needs
Author: Ampt, A., 31 Aug 2017Supervisor: Pechenizkiy, M. (Supervisor 1), Broeders, W. (. (External person) (External coach) & Hassani, M. (Supervisor 2)
Student thesis: Master
File
Predicting process bottlenecks under concept drift
Author: Spenrath, Y., 27 May 2019Supervisor: Hassani, M. (Supervisor 1), Zhang, Y. (Supervisor 2) & Eijkelboom, D. (External person) (External coach)
Student thesis: Master
File