Marwan Hassani

According to our database1, Marwan Hassani authored at least 55 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
On Enabling GDPR Compliance in Business Processes Through Data-Driven Solutions.
SN Comput. Sci., 2020

Predicting Business Process Bottlenecks In Online Events Streams Under Concept Drifts.
Proceedings of the 34th International ECMS Conference on Modelling and Simulation, 2020

2019
On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2019

Online conformance checking: relating event streams to process models using prefix-alignments.
Int. J. Data Sci. Anal., 2019

<i>BFSPMiner</i>: an effective and efficient batch-free algorithm for mining sequential patterns over data streams.
Int. J. Data Sci. Anal., 2019

Optimizing customer journey using process mining and sequence-aware recommendation.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Facilitating GDPR Compliance: The H2020 BPR4GDPR Approach.
Proceedings of the Digital Transformation for a Sustainable Society in the 21st Century, 2019

Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts.
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019

Concept Drift Detection Of Event Streams Using An Adaptive Window.
Proceedings of the 33rd International ECMS Conference on Modelling and Simulation, 2019

Online Comparison of Streaming Process Discovery Algorithms.
Proceedings of the Dissertation Award, 2019

An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

2018
An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Effective Steering of Customer Journey via Order-Aware Recommendation.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Analyzing Customer Journey with Process Mining: From Discovery to Recommendations.
Proceedings of the 6th IEEE International Conference on Future Internet of Things and Cloud, 2018

Towards Effective Generation of Synthetic Memory References Via Markovian Models.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Using internal evaluation measures to validate the quality of diverse stream clustering algorithms.
Vietnam. J. Comput. Sci., 2017

Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action.
Digit. Humanit. Q., 2017

Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction.
Proceedings of the Symposium on Applied Computing, 2017

2016
Clustering Big Data streams: recent challenges and contributions.
it Inf. Technol., 2016

Efficient Query Processing in 3D Motion Capture Gesture Databases.
Int. J. Semantic Comput., 2016

Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A geometric approach for mining sequential patterns in interval-based data streams.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Towards an Efficient Ranking of Interval-Based Patterns.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015
Efficient clustering of big data streams.
PhD thesis, 2015

Subspace clustering of data streams: new algorithms and effective evaluation measures.
J. Intell. Inf. Syst., 2015

Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

Efficient Process Discovery From Event Streams Using Sequential Pattern Mining.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Internal Clustering Evaluation of Data Streams.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

Mining Sequential Patterns of Event Streams in a Smart Home Application.
Proceedings of the LWA 2015 Workshops: KDML, 2015

Adaptive Stream Clustering Using Incremental Graph Maintenance.
Proceedings of the 4th International Workshop on Big Data, 2015

Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance.
Proceedings of the 2015 IEEE International Symposium on Multimedia, 2015

Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Optimizing Sequential Pattern Mining Within Multiple Streams.
Proceedings of the Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015

Sequential Pattern Mining of Multimodal Streams in the Humanities.
Proceedings of the Datenbanksysteme für Business, 2015

Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler.
Proceedings of the Beyond Databases, Architectures and Structures, 2015

2014
Subspace anytime stream clustering.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

(k, d)-core anonymity: structural anonymization of massive networks.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Adaptive Multiple-Resolution Stream Clustering.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering.
Proceedings of the Database Systems for Advanced Applications, 2014

2013
Effective Evaluation Measures for Subspace Clustering of Data Streams.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

HealthNet: A System for Mobile and Wearable Health Information Management.
Proceedings of the 3rd International Workshop on Information Management for Mobile Applications, 2013

Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

<i>Subspace MOA: </i> Subspace Stream Clustering Evaluation Using the MOA Framework.
Proceedings of the Database Systems for Advanced Applications, 2013

2012
Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise.
J. Digit. Inf. Manag., 2012

Density-Based Projected Clustering of Data Streams.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

BT* - An Advanced Algorithm for Anytime Classification.
Proceedings of the Scientific and Statistical Database Management, 2012

Resource-Aware Distributed Clustering of Drifting Sensor Data Streams.
Proceedings of the Networked Digital Technologies - 4th International Conference, 2012

Differential Private Trajectory Obfuscation.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2012

Differential private trajectory protection of moving objects.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoStreaming, 2012

2011
Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams.
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011

Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time.
Proceedings of the Report of the symposium "Lernen, 2011

2009
EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009


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