Marwan Hassani

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 50

Top Venues

RWTH Aachen University, Germany (PHD)

Education History

RWTH Aachen University, Germany

PHD

Publications

Himanshu Choudhary, Marwan Hassani
Autoencoder-based Continual Outlier Correlation Detection for Real-Time Traffic Flow Prediction. SAC (2024)
Yorick Spenrath, Marwan Hassani, Boudewijn Frans van Dongen
Online Prediction Threshold Optimization Under Semi-deferred Labelling. EDBT/ICDT Workshops (2024)
Thaddeus Kosciuszek, Marwan Hassani
Online Next Activity Prediction Under Concept Drifts. CAiSE Workshops (2024)
Haseeb Tariq, Marwan Hassani
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions. CoRR (2023)
Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen
Conformance checking of process event streams with constraints on data retention. Inf. Syst. 117 (2023)
Himanshu Choudhary, Marwan Hassani
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes. CoRR (2023)
Vincent Bolta, Marwan Hassani
Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data. BigData (2023)
Jesús Huete, Abdulhakim Ali Qahtan, Marwan Hassani
PrefixCDD: Effective Online Concept Drift Detection over Event Streams using Prefix Trees. COMPSAC (2023)
Lisan Wolters, Marwan Hassani
Predicting Activities of Interest in the Remainder of Customer Journeys Under Online Settings. ICPM Workshops (2022)
Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen
Efficient memory utilization in conformance checking of process event streams. SAC (2022)
Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen
BitBooster: Effective Approximation of Distance Metrics via Binary Operations. COMPSAC (2022)
Tom Mertens, Marwan Hassani
Can we Learn from Outliers? Unsupervised Optimization of Intelligent Vehicle Traffic Management Systems. ECML/PKDD (6) (2022)
Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen
Clustering-based Aggregations for Prediction in Event Streams. CoRR (2022)
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)
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)
Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen
Prefix Imputation of Orphan Events in Event Stream Processing. Frontiers Big Data 4 (2021)
Wesley Fitters, Alfredo Cuzzocrea, Marwan Hassani
Enhancing LSTM Prediction of Vehicle Traffic Flow Data via Outlier Correlations. COMPSAC (2021)
Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen
A Framework for Efficient Memory Utilization in Online Conformance Checking. CoRR (2021)
István Ketykó, Felix Mannhardt, Marwan Hassani, Boudewijn F. van Dongen
What Averages Do Not Tell - Predicting Real Life Processes with Sequential Deep Learning. CoRR (2021)
Sophie van den Berg, Marwan Hassani
On Inferring a Meaningful Similarity Metric for Customer Behaviour. ECML/PKDD (5) (2021)
Aleksei Karetnikov, Wim Nuijten, Marwan Hassani
Data-driven Support of Coaches in Professional Cycling using Race Performance Prediction. icSPORTS (2021)
Marwan Hassani, Stefan Habets
Predicting Next Touch Point In A Customer Journey: A Use Case In Telecommunication. ECMS (2021)
Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen
Online Prediction of Aggregated Retailer Consumer Behaviour. ICPM Workshops (2021)
Yorick Spenrath, Marwan Hassani
Predicting Business Process Bottlenecks In Online Events Streams Under Concept Drifts. ECMS (2020)
Rashid Zaman, Marwan Hassani, Boudewijn F. van Dongen
Data Minimisation as Privacy and Trust Instrument in Business Processes. Business Process Management Workshops (2020)
Rashid Zaman, Marwan Hassani
On Enabling GDPR Compliance in Business Processes Through Data-Driven Solutions. SN Comput. Sci. 1 (4) (2020)
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)
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)
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)
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) (2019)
Rashid Zaman, Alfredo Cuzzocrea, Marwan Hassani
An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes. IEEE BigData (2019)
Yorick Spenrath, Marwan Hassani
Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts. EDBT/ICDT Workshops (2019)
Marwan Hassani
Concept Drift Detection Of Event Streams Using An Adaptive Window. ECMS (2019)
Alessandro Terragni, Marwan Hassani
Optimizing customer journey using process mining and sequence-aware recommendation. SAC (2019)
Marwan Hassani, Daniel Töws, Alfredo Cuzzocrea, Thomas Seidl
: an effective and efficient batch-free algorithm for mining sequential patterns over data streams. Int. J. Data Sci. Anal. 8 (3) (2019)
Kavya Baskar, Marwan Hassani
Online Comparison of Streaming Process Discovery Algorithms. BPM (PhD/Demos) (2019)
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)
Joël Goossens, Tiblets Demewez, Marwan Hassani
Effective Steering of Customer Journey via Order-Aware Recommendation. ICDM Workshops (2018)
Alessandro Terragni, Marwan Hassani
Analyzing Customer Journey with Process Mining: From Discovery to Recommendations. FiCloud (2018)
Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani, Giorgio Mario Grasso
Towards Effective Generation of Synthetic Memory References Via Markovian Models. COMPSAC (2) (2018)
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)
Yifeng Lu, Marwan Hassani, Thomas Seidl
Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. SSDBM (2017)
Marwan Hassani, Daniel Töws, Thomas Seidl
Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction. SAC (2017)
Marwan Hassani, Thomas Seidl
Using internal evaluation measures to validate the quality of diverse stream clustering algorithms. Vietnam. J. Comput. Sci. 4 (3) (2017)
Marwan Hassani, Thomas Seidl
Clustering Big Data streams: recent challenges and contributions. it Inf. Technol. 58 (4) (2016)
Marwan Hassani, Yifeng Lu, Thomas Seidl
Towards an Efficient Ranking of Interval-Based Patterns. EDBT (2016)
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) (2016)
Marwan Hassani, Yifeng Lu, Jens Wischnewsky, Thomas Seidl
A geometric approach for mining sequential patterns in interval-based data streams. FUZZ-IEEE (2016)
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)
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)
Christian Beecks, Marwan Hassani, Florian Obeloer, Thomas Seidl
Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases. ICDM Workshops (2015)
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)
Marwan Hassani, Sergio Siccha, Florian Richter, Thomas Seidl
Efficient Process Discovery From Event Streams Using Sequential Pattern Mining. SSCI (2015)
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)
Ayman Tarakji, Marwan Hassani, Lyubomir Georgiev, Thomas Seidl, Rainer Leupers
Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler. BDAS (2015)
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)
Marwan Hassani, Pascal Spaus, Alfredo Cuzzocrea, Thomas Seidl
Adaptive Stream Clustering Using Incremental Graph Maintenance. BigMine (2015)
Marwan Hassani, Christian Beecks, Daniel Töws, Thomas Seidl
Mining Sequential Patterns of Event Streams in a Smart Home Application. LWA (2015)
Daniel Töws, Marwan Hassani, Christian Beecks, Thomas Seidl
Optimizing Sequential Pattern Mining Within Multiple Streams. BTW Workshops (2015)
Marwan Hassani, Thomas Seidl
Internal Clustering Evaluation of Data Streams. PAKDD Workshops (2015)
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) (2015)
Marwan Hassani, Thomas Seidl
Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering. DASFAA Workshops (2014)
Marwan Hassani, Pascal Spaus, Thomas Seidl
Adaptive Multiple-Resolution Stream Clustering. MLDM (2014)
Marwan Hassani, Philipp Kranen, Rajveer Saini, Thomas Seidl
Subspace anytime stream clustering. SSDBM (2014)
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)
Roland Assam, Marwan Hassani, Michael Brysch, Thomas Seidl
(k, d)-core anonymity: structural anonymization of massive networks. SSDBM (2014)
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)
Ayman Tarakji, Marwan Hassani, Stefan Lankes, Thomas Seidl
Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data. ICCSA (5) (2013)
Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl
Effective Evaluation Measures for Subspace Clustering of Data Streams. PAKDD Workshops (2013)
Marwan Hassani, Yunsu Kim, Thomas Seidl
Subspace Stream Clustering Evaluation Using the MOA Framework. DASFAA (2) (2013)
Marwan Hassani, Thomas Seidl
Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise. J. Digit. Inf. Manag. 10 (6) (2012)
Marwan Hassani, Pascal Spaus, Mohamed Medhat Gaber, Thomas Seidl
Density-Based Projected Clustering of Data Streams. SUM (2012)
Marwan Hassani, Thomas Seidl
Resource-Aware Distributed Clustering of Drifting Sensor Data Streams. NDT (1) (2012)
Roland Assam, Marwan Hassani, Thomas Seidl
Differential Private Trajectory Obfuscation. MobiQuitous (2012)
Roland Assam, Marwan Hassani, Thomas Seidl
Differential private trajectory protection of moving objects. IWGS@SIGSPATIAL/GIS (2012)
Philipp Kranen, Marwan Hassani, Thomas Seidl
BT* - An Advanced Algorithm for Anytime Classification. SSDBM (2012)
Marwan Hassani, Philipp Kranen, Thomas Seidl
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time. LWA (2011)
Marwan Hassani, Thomas Seidl
Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams. Mobile Data Management (2) (2011)
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)

Marwan Hassani.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Marwan Hassani