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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

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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 (IEEE), p. 2953-2959 7 p. 8616498

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

Open Access
File
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 proceedingChapterAcademicpeer-review

Clustering algorithms
Data mining
Sensors
Big data

A Markov-Model-based framework for supporting real-time generation of synthetic memory references effectively and efficiently

Cuzzocrea, A., Mumolo, E., Hassani, M. & Grasso, G. M., 1 Jan 2018, Proceedings - DMSVIVA 2018: Proceedings of the 24th International DMS Conference on Visualization and Visual Languages. Pittsburgh: Knowledge Systems Institute Graduate School, p. 83-90 8 p.

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

Data storage equipment
Hidden Markov models
Computer science
Learning algorithms
Learning systems
2 Citations (Scopus)

Analyzing customer journey with process mining: from discovery to recommendations

Terragni, A. & Hassani, M., 7 Sep 2018, Proceedings - 2018 IEEE 6th International Conference on Future Internet of Things and Cloud, FiCloud 2018. Younas, M. & Disso, J. P. (eds.). Piscataway: Institute of Electrical and Electronics Engineers (IEEE), p. 224-229 6 p. 8458017

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

Marketing
Industry

Courses

Data analytics for engineers

1/09/17 → …

Course

DBL Data Challenge

1/09/15 → …

Course

Student theses

Analyzing customer journey with process mining: from discovery to recommendations

Author: Terragni, A., 24 Sep 2018

Supervisor: 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 2017

Supervisor: 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 2018

Supervisor: 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 2017

Supervisor: Pechenizkiy, M. (Supervisor 1), Broeders, W. (. (External person) (External coach) & Hassani, M. (Supervisor 2)

Student thesis: Master

File