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ORCIDMarwan Hassani
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- affiliation: Eindhoven University of Technology, The Netherlands
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2020 – today
- 2024
[c63]Thaddeus Kosciuszek, Marwan Hassani
:
Online Next Activity Prediction Under Concept Drifts. CAiSE Workshops 2024: 335-346- [c62]Yorick Spenrath, Marwan Hassani, Boudewijn Frans van Dongen:
Online Prediction Threshold Optimization Under Semi-deferred Labelling. EDBT/ICDT Workshops 2024 - [c61]Himanshu Choudhary, Marwan Hassani:
Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction. SAC 2024: 218-220 - 2023
- [j12]Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen:
Conformance checking of process event streams with constraints on data retention. Inf. Syst. 117: 102228 (2023) - [c60]Vincent Bolta, Marwan Hassani:
Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data. IEEE Big Data 2023: 5166-5175 - [c59]Jesús Huete, Abdulhakim Ali Qahtan, Marwan Hassani:
PrefixCDD: Effective Online Concept Drift Detection over Event Streams using Prefix Trees. COMPSAC 2023: 328-333 - [c58]Haseeb Tariq, Marwan Hassani:
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions. PKDD/ECML Workshops (5) 2023: 402-419 - [i5]Haseeb Tariq, Marwan Hassani:
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions. CoRR abs/2309.13662 (2023) - [i4]Himanshu Choudhary, Marwan Hassani:
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes. CoRR abs/2312.16596 (2023) - 2022
- [c57]Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen:
BitBooster: Effective Approximation of Distance Metrics via Binary Operations. COMPSAC 2022: 201-210 - [c56]Lisan Wolters, Marwan Hassani:
Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings. ICPM Workshops 2022: 145-157 - [c55]Erik Andersen, Marco Chiarandini, Marwan Hassani, Stefan Jänicke, Panagiotis Tampakis, Arthur Zimek:
Evaluation of Probability Distribution Distance Metrics in Traffic Flow Outlier Detection. MDM 2022: 64-69 - [c54]Tom Mertens, Marwan Hassani:
Can we Learn from Outliers? Unsupervised Optimization of Intelligent Vehicle Traffic Management Systems. ECML/PKDD (6) 2022: 521-537 - [c53]Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen:
Efficient memory utilization in conformance checking of process event streams. SAC 2022: 437-440 - [c52]István Ketykó, Felix Mannhardt, Marwan Hassani, Boudewijn F. van Dongen:
What averages do not tell: predicting real life processes with sequential deep learning. SAC 2022: 1128-1131 - [e2]Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl:
Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022. CEUR Workshop Proceedings 3299, CEUR-WS.org 2022 [contents] - [i3]Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen:
Clustering-based Aggregations for Prediction in Event Streams. CoRR abs/2210.09738 (2022) - 2021
- [j11]Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen:
Prefix Imputation of Orphan Events in Event Stream Processing. Frontiers Big Data 4: 705243 (2021) - [c51]Wesley Fitters, Alfredo Cuzzocrea, Marwan Hassani:
Enhancing LSTM Prediction of Vehicle Traffic Flow Data via Outlier Correlations. COMPSAC 2021: 210-217 - [c50]Marwan Hassani, Stefan Habets:
Predicting Next Touch Point In A Customer Journey: A Use Case In Telecommunication. ECMS 2021: 48-54 - [c49]Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen:
Online Prediction of Aggregated Retailer Consumer Behaviour. ICPM Workshops 2021: 211-223 - [c48]Aleksei Karetnikov, Wim Nuijten, Marwan Hassani:
Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction. icSPORTS 2021: 43-53 - [c47]Sophie van den Berg, Marwan Hassani:
On Inferring a Meaningful Similarity Metric for Customer Behaviour. ECML/PKDD (5) 2021: 234-250 - [i2]István Ketykó, Felix Mannhardt, Marwan Hassani, Boudewijn F. van Dongen:
What Averages Do Not Tell - Predicting Real Life Processes with Sequential Deep Learning. CoRR abs/2110.10225 (2021) - [i1]Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen:
A Framework for Efficient Memory Utilization in Online Conformance Checking. CoRR abs/2112.13640 (2021) - 2020
- [j10]Rashid Zaman, Marwan Hassani:
On Enabling GDPR Compliance in Business Processes Through Data-Driven Solutions. SN Comput. Sci. 1(4): 210 (2020) - [c46]Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen:
Data Minimisation as Privacy and Trust Instrument in Business Processes. Business Process Management Workshops 2020: 17-29 - [c45]Yorick Spenrath, Marwan Hassani:
Predicting Business Process Bottlenecks In Online Events Streams Under Concept Drifts. ECMS 2020: 190-196 - [c44]Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen, Haseeb Tariq:
Why Did My Consumer Shop? Learning an Efficient Distance Metric for Retailer Transaction Data. ECML/PKDD (5) 2020: 323-338
2010 – 2019
- 2019
- [j9]Marwan Hassani, Daniel Töws, Alfredo Cuzzocrea, Thomas Seidl:
BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. Int. J. Data Sci. Anal. 8(3): 223-239 (2019) - [j8]Sebastiaan J. van Zelst, Alfredo Bolt, Marwan Hassani, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Online conformance checking: relating event streams to process models using prefix-alignments. Int. J. Data Sci. Anal. 8(3): 269-284 (2019) - [j7]Marwan Hassani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification. WIREs Data Mining Knowl. Discov. 9(6) (2019) - [c43]Rashid Zaman, Alfredo Cuzzocrea, Marwan Hassani:
An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes. IEEE BigData 2019: 2982-2991 - [c42]Kavya Baskar, Marwan Hassani:
Online Comparison of Streaming Process Discovery Algorithms. BPM (PhD/Demos) 2019: 164-168 - [c41]Marwan Hassani:
Concept Drift Detection Of Event Streams Using An Adaptive Window. ECMS 2019: 230-239 - [c40]Yorick Spenrath, Marwan Hassani:
Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts. EDBT/ICDT Workshops 2019 - [c39]Georgios V. Lioudakis, Maria N. Koukovini, Eugenia I. Papagiannakopoulou, Nikolaos L. Dellas, Kostas Kalaboukas, Renata Medeiros de Carvalho, Marwan Hassani, Lorenzo Bracciale, Giuseppe Bianchi, Adrian Juan Verdejo, Spiros Alexakis, Francesca Gaudino, Davide Cascone, Paolo Barracano:
Facilitating GDPR Compliance: The H2020 BPR4GDPR Approach. I3E Workshops 2019: 72-78 - [c38]Alessandro Terragni, Marwan Hassani:
Optimizing customer journey using process mining and sequence-aware recommendation. SAC 2019: 57-65 - 2018
- [c37]Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani, Giorgio Mario Grasso:
Towards Effective Generation of Synthetic Memory References Via Markovian Models. COMPSAC (2) 2018: 199-203 - [c36]Alessandro Terragni, Marwan Hassani:
Analyzing Customer Journey with Process Mining: From Discovery to Recommendations. FiCloud 2018: 224-229 - [c35]Joël Goossens, Tiblets Demewez, Marwan Hassani:
Effective Steering of Customer Journey via Order-Aware Recommendation. ICDM Workshops 2018: 828-837 - [c34]Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani:
An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models. SMC 2018: 2953-2959 - 2017
- [j6]Daniel Schüller, Christian Beecks, Marwan Hassani, Jennifer Hinnell, Bela Brenger, Thomas Seidl, Irene Mittelberg:
Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action. Digit. Humanit. Q. 11(2) (2017) - [j5]Marwan Hassani, Thomas Seidl:
Using internal evaluation measures to validate the quality of diverse stream clustering algorithms. Vietnam. J. Comput. Sci. 4(3): 171-183 (2017) - [c33]Marwan Hassani, Daniel Töws, Thomas Seidl:
Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. SAC 2017: 866-869 - [c32]Yifeng Lu, Marwan Hassani, Thomas Seidl:
Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. SSDBM 2017: 7:1-7:12 - 2016
- [j4]Christian Beecks, Marwan Hassani, Bela Brenger, Jennifer Hinnell, Daniel Schüller, Irene Mittelberg, Thomas Seidl:
Efficient Query Processing in 3D Motion Capture Gesture Databases. Int. J. Semantic Comput. 10(1): 5-26 (2016) - [j3]Marwan Hassani, Thomas Seidl:
Clustering Big Data streams: recent challenges and contributions. it Inf. Technol. 58(4): 206-213 (2016) - [c31]Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl:
I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools. CCGrid 2016: 656-665 - [c30]Marwan Hassani, Yifeng Lu, Thomas Seidl:
Towards an Efficient Ranking of Interval-Based Patterns. EDBT 2016: 688-689 - [c29]Marwan Hassani, Yifeng Lu, Jens Wischnewsky, Thomas Seidl:
A geometric approach for mining sequential patterns in interval-based data streams. FUZZ-IEEE 2016: 2128-2135 - [c28]Erik Scharwächter, Emmanuel Müller, Jonathan F. Donges, Marwan Hassani, Thomas Seidl:
Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. ICDM 2016: 1191-1196 - 2015
- [b1]Marwan Hassani:
Efficient clustering of big data streams. RWTH Aachen University, Germany, 2015 - [j2]Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl:
Subspace clustering of data streams: new algorithms and effective evaluation measures. J. Intell. Inf. Syst. 45(3): 319-335 (2015) - [c27]Ayman Tarakji, Marwan Hassani, Lyubomir Georgiev, Thomas Seidl, Rainer Leupers:
Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler. BDAS 2015: 343-360 - [c26]Daniel Töws, Marwan Hassani, Christian Beecks, Thomas Seidl:
Optimizing Sequential Pattern Mining Within Multiple Streams. BTW Workshops 2015: 223-232 - [c25]Marwan Hassani, Christian Beecks, Daniel Töws, Tatiana Serbina, Max Haberstroh, Paula Niemietz, Sabina Jeschke, Stella Neumann, Thomas Seidl:
Sequential Pattern Mining of Multimodal Streams in the Humanities. BTW 2015: 683-686 - [c24]Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl:
Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. ICDM Workshops 2015: 1425-1432 - [c23]Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl:
Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance. ISM 2015: 148-153 - [c22]Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl:
Adaptive Stream Clustering Using Incremental Graph Maintenance. BigMine 2015: 49-64 - [c21]Marwan Hassani, Christian Beecks, Daniel Töws, Thomas Seidl:
Mining Sequential Patterns of Event Streams in a Smart Home Application. LWA 2015: 159-170 - [c20]Marwan Hassani, Thomas Seidl:
Internal Clustering Evaluation of Data Streams. PAKDD Workshops 2015: 198-209 - [c19]Marwan Hassani, Sergio Siccha, Florian Richter, Thomas Seidl:
Efficient Process Discovery From Event Streams Using Sequential Pattern Mining. SSCI 2015: 1366-1373 - [c18]Christian Beecks, Marwan Hassani, Jennifer Hinnell, Daniel Schüller, Bela Brenger, Irene Mittelberg, Thomas Seidl:
Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams. SSTD 2015: 355-372 - 2014
- [c17]Marwan Hassani, Thomas Seidl:
Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering. DASFAA Workshops 2014: 146-160 - [c16]Marwan Hassani, Pascal Spaus, Thomas Seidl:
Adaptive Multiple-Resolution Stream Clustering. MLDM 2014: 134-148 - [c15]Marwan Hassani, Ayman Tarakji, Lyubomir Georgiev, Thomas Seidl:
Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System. PAKDD Workshops 2014: 441-453 - [c14]Roland Assam, Marwan Hassani, Michael Brysch, Thomas Seidl:
(k, d)-core anonymity: structural anonymization of massive networks. SSDBM 2014: 17:1-17:12 - [c13]Marwan Hassani, Philipp Kranen, Rajveer Saini, Thomas Seidl:
Subspace anytime stream clustering. SSDBM 2014: 37:1-37:4 - [e1]Thomas Seidl, Marwan Hassani, Christian Beecks:
Proceedings of the 16th LWA Workshops: KDML, IR and FGWM, Aachen, Germany, September 8-10, 2014. CEUR Workshop Proceedings 1226, CEUR-WS.org 2014 [contents] - 2013
- [c12]Marwan Hassani, Yunsu Kim, Thomas Seidl:
Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework. DASFAA (2) 2013: 446-449 - [c11]Ayman Tarakji, Marwan Hassani, Stefan Lankes, Thomas Seidl:
Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data. ICCSA (5) 2013: 181-196 - [c10]Christoph Quix, Johannes Barnickel, Sandra Geisler, Marwan Hassani, Saim Kim, Xiang Li, Andreas Lorenz, Till Quadflieg, Thomas Gries, Matthias Jarke, Steffen Leonhardt, Ulrike Meyer, Thomas Seidl:
HealthNet: A System for Mobile and Wearable Health Information Management. IMMoA 2013: 36-43 - [c9]Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl:
Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops 2013: 342-353 - 2012
- [j1]Marwan Hassani, Thomas Seidl:
Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise. J. Digit. Inf. Manag. 10(6): 410-420 (2012) - [c8]Roland Assam, Marwan Hassani, Thomas Seidl:
Differential private trajectory protection of moving objects. IWGS@SIGSPATIAL/GIS 2012: 68-77 - [c7]Roland Assam, Marwan Hassani, Thomas Seidl:
Differential Private Trajectory Obfuscation. MobiQuitous 2012: 139-151 - [c6]Marwan Hassani, Thomas Seidl:
Resource-Aware Distributed Clustering of Drifting Sensor Data Streams. NDT (1) 2012: 592-607 - [c5]Philipp Kranen, Marwan Hassani, Thomas Seidl:
BT* - An Advanced Algorithm for Anytime Classification. SSDBM 2012: 298-315 - [c4]Marwan Hassani, Pascal Spaus, Mohamed Medhat Gaber, Thomas Seidl:
Density-Based Projected Clustering of Data Streams. SUM 2012: 311-324 - 2011
- [c3]Marwan Hassani, Philipp Kranen, Thomas Seidl:
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time. LWA 2011: 97-105 - [c2]Marwan Hassani, Thomas Seidl:
Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. Mobile Data Management (2) 2011: 55-57
2000 – 2009
- 2009
- [c1]Marwan Hassani, Emmanuel Müller, Thomas Seidl:
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 39-48
Coauthor Index
Boudewijn F. van Dongen
aka: Boudewijn Frans van Dongen
aka: Boudewijn Frans van Dongen
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