Marwan Hassani

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Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), MCML, GermanyVerified email at dbs.ifi.lmu.de
Boudewijn van DongenProfessor of Computer Science, Eindhoven University of TechnologyVerified email at tue.nl
Christian BeecksProfessor of Computer Science, University of Hagen, GermanyVerified email at fernuni-hagen.de
Alfredo CuzzocreaProfessor of Computer Engineering, University of Calabria, ItalyVerified email at si.dimes.unical.it
Rashid ZamanEindhoven University of TechnologyVerified email at tue.nl
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundVerified email at cs.tu-dortmund.de
Philipp KranenMicrosoft ResearchVerified email at microsoft.com
yorick spenrathDoctorial Candidate, Eindhoven University of TechnologyVerified email at tue.nl
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Yunsu KimaiXplain, Inc.Verified email at aixplain.com
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City UniversityVerified email at bcu.ac.uk
Sabina JeschkeProfessor and Head of the IMA/ZLW & IfU, Faculty for Mechanical Engineering, RWTH Aachen UniversityVerified email at ima-zlw-ifu.rwth-aachen.de
Seungjin ChoiDirector of Machine Learning Lab, IntellicodeVerified email at postech.ac.kr
Erik ScharwächterTU Dortmund UniversityVerified email at cs.tu-dortmund.de
Jonathan F. DongesGroup leader, Potsdam Institute for Climate Impact Research and Stockholm Resilience CentreVerified email at pik-potsdam.de
Themis PalpanasDistinguished Professor, University Paris Cite, French University Institute (IUF)Verified email at mi.parisdescartes.fr
Sandra GeislerRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Christoph QuixChristoph Quix is a senior researcher in the Life Science Informatics group at the FraunhoferVerified email at dbis.rwth-aachen.de
Steffen LeonhardtChair for Medical Information Technology, RWTH Aachen UniversityVerified email at hia.rwth-aachen.de
Matthias JarkeProfessor of Information Systems, RWTH Aachen UniversityVerified email at dbis.rwth-aachen.de

Marwan Hassani

Assistant Professor of Computer Science at Eindhoven University of Technology

Verified email at tue.nl - Homepage

Stream Data Mining Process Mining Data Science Big Data


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Using internal evaluation measures to validate the quality of diverse stream clustering algorithms M Hassani, T Seidl Vietnam Journal of Computer Science 4, 171-183, 2017	107	2017
Online conformance checking: relating event streams to process models using prefix-alignments SJ van Zelst, A Bolt, M Hassani, BF van Dongen, WMP van der Aalst International Journal of Data Science and Analytics 8, 269-284, 2019	100	2019
Density-based projected clustering of data streams M Hassani, P Spaus, MM Gaber, T Seidl Scalable Uncertainty Management: 6th International Conference, SUM 2012 …, 2012	68	2012
Analyzing customer journey with process mining: From discovery to recommendations A Terragni, M Hassani 2018 IEEE 6th International Conference on Future Internet of Things and …, 2018	67	2018
Efficient process discovery from event streams using sequential pattern mining M Hassani, S Siccha, F Richter, T Seidl 2015 IEEE symposium series on computational intelligence, 1366-1373, 2015	56	2015
Towards a mobile health context prediction: Sequential pattern mining in multiple streams M Hassani, T Seidl 2011 IEEE 12th International Conference on Mobile Data Management 2, 55-57, 2011	39	2011
Concept Drift Detection Of Event Streams Using An Adaptive Window. M Hassani ECMS, 230-239, 2019	33	2019
Efficient Clustering of Big Data Streams M Hassani RWTH Aachen University, 2015	30	2015
Adaptive multiple-resolution stream clustering M Hassani, P Spaus, T Seidl Machine Learning and Data Mining in Pattern Recognition: 10th International …, 2014	28	2014
Optimizing customer journey using process mining and sequence-aware recommendation A Terragni, M Hassani Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 57-65, 2019	27	2019
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers M Hassani, E Müller, T Seidl Proceedings of the Third International Workshop on Knowledge Discovery from …, 2009	27	2009
Precise anytime clustering of noisy sensor data with logarithmic complexity M Hassani, P Kranen, T Seidl Proceedings of the Fifth International Workshop on Knowledge Discovery from …, 2011	26	2011
Spatiotemporal similarity search in 3d motion capture gesture streams C Beecks, M Hassani, J Hinnell, D Schüller, B Brenger, I Mittelberg, ... Advances in Spatial and Temporal Databases: 14th International Symposium …, 2015	23	2015
Adaptive stream clustering using incremental graph maintenance M Hassani, P Spaus, A Cuzzocrea, T Seidl Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms …, 2015	22	2015
Differential private trajectory protection of moving objects R Assam, M Hassani, T Seidl Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoStreaming …, 2012	21	2012
BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams M Hassani, D Töws, A Cuzzocrea, T Seidl International Journal of Data Science and Analytics 8, 223-239, 2019	19	2019
Sequential pattern mining of multimodal streams in the humanities M Hassani, C Beecks, D Töws, T Serbina, M Haberstroh, P Niemietz, ... Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015	19	2015
Subspace anytime stream clustering M Hassani, P Kranen, R Saini, T Seidl Proceedings of the 26th International Conference on Scientific and …, 2014	19	2014
I-hastream: density-based hierarchical clustering of big data streams and its application to big graph analytics tools M Hassani, P Spaus, A Cuzzocrea, T Seidl 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016	17	2016
Effective steering of customer journey via order-aware recommendation J Goossens, T Demewez, M Hassani 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 828-837, 2018	16	2018

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