Marwan Hassani

发表

An Effective and Efficient Approach for Supporting the Generation of Synthetic Memory Reference Traces via Hierarchical Hidden/Non-Hidden Markov Models

Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise

Thomas Seidl, Marwan Hassani, T. Seidl, 2012, J. Digit. Inf. Manag..

Parallel Implementation of a Density-Based Stream Clustering Algorithm Over a GPU Scheduling System

Thomas Seidl, Marwan Hassani, Ayman Tarakji, 2014, PAKDD Workshops.

Precise anytime clustering of noisy sensor data with logarithmic complexity

Thomas Seidl, Marwan Hassani, Philipp Kranen, 2011, SensorKDD '11.

Analyzing Customer Journey with Process Mining: From Discovery to Recommendations

Marwan Hassani, Alessandro Terragni, Marwan Hassani, 2018, 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud).

Concept Drift Detection Of Event Streams Using An Adaptive Window

Marwan Hassani, 2019, ECMS.

Clustering Big Data streams: recent challenges and contributions

Thomas Seidl, Marwan Hassani, 2016, it Inf. Technol..

BT* - An Advanced Algorithm for Anytime Classification

Thomas Seidl, Marwan Hassani, Philipp Kranen, 2012, SSDBM.

Differential Private Trajectory Obfuscation

Thomas Seidl, Marwan Hassani, Roland Assam, 2012, MobiQuitous.

Using internal evaluation measures to validate the quality of diverse stream clustering algorithms

Thomas Seidl, Marwan Hassani, T. Seidl, 2017, Vietnam Journal of Computer Science.

Overview of efficient clustering methods for high-dimensional big data streams

Marwan Hassani, 2019 .

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

Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani, 2018 .

Process mining meets GDPR compliance : the right to be forgotten as a use case

Marwan Hassani, Rashid Zaman, 2019 .

On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification

Wil M. P. van der Aalst, Marwan Hassani, Sebastiaan J. van Zelst, 2019, WIREs Data Mining Knowl. Discov..

Efficient Query Processing in 3D Motion Capture Gesture Databases

Thomas Seidl, Marwan Hassani, Christian Beecks, 2016, Int. J. Semantic Comput..

EDISKCO: energy efficient distributed in-sensor-network k-center clustering with outliers

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2009, SensorKDD '09.

(k, d)-core anonymity: structural anonymization of massive networks

Thomas Seidl, Marwan Hassani, Roland Assam, 2014, SSDBM '14.

Understanding the bigger picture: batch-free exploration of streaming sequential patterns with accurate prediction

Thomas Seidl, Marwan Hassani, Daniel Töws, 2017, SAC.

Adaptive Stream Clustering Using Incremental Graph Maintenance

Thomas Seidl, Alfredo Cuzzocrea, Marwan Hassani, 2015, BigMine.

BFSPMiner: an effective and efficient batch-free algorithm for mining sequential patterns over data streams

Thomas Seidl, Alfredo Cuzzocrea, Marwan Hassani, 2017, International Journal of Data Science and Analytics.

Optimizing Sequential Pattern Mining Within Multiple Streams

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, BTW Workshops.

Online Comparison of Streaming Process Discovery Algorithms

Marwan Hassani, Kavya Baskar, Marwan Hassani, 2019, BPM.

Density-Based Projected Clustering of Data Streams

Mohamed Medhat Gaber, Thomas Seidl, Marwan Hassani, 2012, SUM.

Interface to OpenSubspace

Marwan Hassani, Matthias Hansen, 2015 .

Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams

Thomas Seidl, Marwan Hassani, 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering

Thomas Seidl, Marwan Hassani, Yifeng Lu, 2017, SSDBM.

Parallel Density-Based Stream Clustering Using a Multi-user GPU Scheduler

Rainer Leupers, Thomas Seidl, Marwan Hassani, 2015, BDAS.

I-HASTREAM: Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools

Thomas Seidl, Alfredo Cuzzocrea, Marwan Hassani, 2016, 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid).

Facilitating GDPR Compliance: The H2020 BPR4GDPR Approach

Giuseppe Bianchi, Marwan Hassani, Eugenia I. Papagiannakopoulou, 2019, I3E Workshops.

Mining Sequential Patterns of Event Streams in a Smart Home Application

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, LWA.

Towards Effective Generation of Synthetic Memory References Via Markovian Models

Alfredo Cuzzocrea, Enzo Mumolo, Marwan Hassani, 2018, 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC).

Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering

Thomas Seidl, Marwan Hassani, 2014, DASFAA Workshops.

Using a Multitasking GPU Environment for Content-Based Similarity Measures of Big Data

Thomas Seidl, Marwan Hassani, Stefan Lankes, 2013, ICCSA.

Efficient Process Discovery From Event Streams Using Sequential Pattern Mining

Thomas Seidl, Florian Richter, Marwan Hassani, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time

Thomas Seidl, Marwan Hassani, Philipp Kranen, 2011, LWA.

Adaptive Multiple-Resolution Stream Clustering

Thomas Seidl, Marwan Hassani, Pascal Spaus, 2014, MLDM.

Efficient Query Processing in 3D Motion Capture Databases via Lower Bound Approximation of the Gesture Matching Distance

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, 2015 IEEE International Symposium on Multimedia (ISM).

Efficient Distance-Based Gestural Pattern Mining in Spatiotemporal 3D Motion Capture Databases

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Automated Pattern Analysis in Gesture Research: Similarity Measuring in 3D Motion Capture Models of Communicative Action

Thomas Seidl, Marwan Hassani, Christian Beecks, 2017, Digit. Humanit. Q..

A geometric approach for mining sequential patterns in interval-based data streams

Thomas Seidl, Marwan Hassani, Yifeng Lu, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Sequential Pattern Mining of Multimodal Streams in the Humanities

Sabina Jeschke, Thomas Seidl, Stella Neumann, 2015, BTW.

Optimizing customer journey using process mining and sequence-aware recommendation

Marwan Hassani, Alessandro Terragni, Marwan Hassani, 2019, SAC.

HealthNet: A System for Mobile and Wearable Health Information Management

Matthias Jarke, Steffen Leonhardt, Ulrike Meyer, 2013, IMMoA.

Ensemble-Based Prediction of Business Processes Bottlenecks With Recurrent Concept Drifts

Marwan Hassani, Yorick Spenrath, Marwan Hassani, 2019, EDBT/ICDT Workshops.

An Innovative Online Process Mining Framework for Supporting Incremental GDPR Compliance of Business Processes

Alfredo Cuzzocrea, Marwan Hassani, Rashid Zaman, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Resource-Aware Distributed Clustering of Drifting Sensor Data Streams

Thomas Seidl, Marwan Hassani, T. Seidl, 2012, NDT.

Differential private trajectory protection of moving objects

Thomas Seidl, Marwan Hassani, Roland Assam, 2012, IWGS '12.

Spatiotemporal Similarity Search in 3D Motion Capture Gesture Streams

Thomas Seidl, Marwan Hassani, Christian Beecks, 2015, SSTD.

Subspace clustering of data streams: new algorithms and effective evaluation measures

Thomas Seidl, Marwan Hassani, Seungjin Choi, 2014, Journal of Intelligent Information Systems.

Efficient clustering of big data streams

Marwan Hassani, Marwan Hassani, 2015 .

Subspace MOA: Subspace Stream Clustering Evaluation Using the MOA Framework

Thomas Seidl, Marwan Hassani, Yunsu Kim, 2013, DASFAA.

Effective Evaluation Measures for Subspace Clustering of Data Streams

Thomas Seidl, Marwan Hassani, Seungjin Choi, 2013, PAKDD Workshops.

Towards an Efficient Ranking of Interval-Based Patterns

Thomas Seidl, Marwan Hassani, Yifeng Lu, 2016, EDBT.

Effective Steering of Customer Journey via Order-Aware Recommendation

Marwan Hassani, Joël Goossens, Tiblets Demewez, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Internal Clustering Evaluation of Data Streams

Thomas Seidl, Marwan Hassani, T. Seidl, 2015, PAKDD Workshops.

Online conformance checking: relating event streams to process models using prefix-alignments

Marwan Hassani, Wil M.P. van der Aalst, Alfredo Bolt, 2017, International Journal of Data Science and Analytics.

Subspace anytime stream clustering

Rajveer Saini, Thomas Seidl, Marwan Hassani, 2014, SSDBM '14.

Enhancing LSTM Prediction of Vehicle Traffic Flow Data via Outlier Correlations

Alfredo Cuzzocrea, Marwan Hassani, Wesley Fitters, 2021, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).

Predicting Next Touch Point In A Customer Journey: A Use Case In Telecommunication

Marwan Hassani, Stefan Habets, 2021, ECMS.

What averages do not tell: predicting real life processes with sequential deep learning pdf

Marwan Hassani, Felix Mannhardt, Boudewijn van Dongen, 2021, SAC.

A Framework for Efficient Memory Utilization in Online Conformance Checking pdf

Marwan Hassani, Boudewijn F. van Dongen, Rashid Zaman, 2021, ArXiv.

Prefix Imputation of Orphan Events in Event Stream Processing

Marwan Hassani, Boudewijn F. van Dongen, Rashid Zaman, 2021, Frontiers in Big Data.

On Inferring a Meaningful Similarity Metric for Customer Behaviour

Marwan Hassani, Sophie van den Berg, 2021, ECML/PKDD.

Fostering interdisciplinary integration in the e-humanities

Sabina Jeschke, Stella Neumann, Marwan Hassani, 2014 .

Self-Organizing Energy Aware Clustering of Nodes in Sensor Networks Using Relevant Attributes

Emmanuel Müller, Thomas Seidl, Marwan Hassani, 2010 .