If you made any changes in Pure these will be visible here soon.

Research Output

2019

An effective and efficient approach for supporting the generation of synthetic memory reference traces via hierarchical hidden/non-hidden Markov Models

Cuzzocrea, A., Mumolo, E. & Hassani, M., 16 Jan 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers, p. 2953-2959 7 p. 8616498

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)

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

Hassani, M., Töws, D., Cuzzocrea, A. & Seidl, T., 2019, In : International Journal of Data Science and Analytics. 8, 3, p. 223-239

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
16 Downloads (Pure)

Concept drift detection of event streams using an adaptive window

Hassani, M., 1 Jun 2019, 33rd International ECMS Conference on Modelling and Simulation, ECMS 2019. p. 230-239 10 p. DSM 73. (Proceedings - European Council for Modelling and Simulation, ECMS; vol. 33).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Effective steering of customer journey via order-aware recommendation

Goossens, J. A. J., Demewez, T. & Hassani, M., 7 Feb 2019, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Li, Z., Yu, J., Tong, H. & Zhu, F. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 828-837 10 p. 8637405

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)

Ensemble-based prediction of business processes bottlenecks with recurrent concept drifts

Spenrath, Y. & Hassani, M., 1 Jan 2019, Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference: Lisbon, Portugal, March 26, 2019. Papotti, P. (ed.). CEUR-WS.org, 8 p. (CEUR Workshop Proceedings; vol. 2322).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
15 Downloads (Pure)

Online comparison of streaming process discovery algorithms

Baskar, K. & Hassani, M., 1 Jan 2019, Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at BPM 2019 co-located with 17th International Conference on Business Process Management (BPM 2019). Depaire, B., De Smedt, J. & Dumas, M. (eds.). CEUR-WS.org, p. 164-168 5 p. (CEUR Workshop Proceedings; vol. 2420).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
11 Downloads (Pure)
Open Access
File
13 Downloads (Pure)
3 Citations (Scopus)

Optimizing customer journey using process mining and sequence-aware recommendation

Terragni, A. & Hassani, M., 8 Apr 2019, SAC '19 Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. New York: Association for Computing Machinery, Inc, p. 57-65 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
3 Downloads (Pure)

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

Hassani, M., 1 Jan 2019, Clustering Methods for Big Data Analytics. Nasraoui, O. & Ben N'Cir, C-E. (eds.). Cham: Springer, p. 25-42 18 p. (Unsupervised and Semi-Supervised Learning).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Downloads (Pure)

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

Zaman, R. & Hassani, M., 1 Jan 2019, ICPM Doctoral Consortium 2019: Proceedings of the ICPM 2019 Doctoral Consortium co-located with 1st International Conference on Process Mining (ICPM 2019). van Dongen, B. & Claes, J. (eds.). CEUR-WS.org, 9 p. (CEUR Workshop Proceedings; vol. 2432).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
14 Downloads (Pure)
2018

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

Cuzzocrea, A., Mumolo, E., Hassani, M. & Grasso, G. M., 1 Jan 2018, Proceedings - DMSVIVA 2018: Proceedings of the 24th International DMS Conference on Visualization and Visual Languages. Pittsburgh: Knowledge Systems Institute Graduate School, p. 83-90 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)

Analyzing customer journey with process mining: from discovery to recommendations

Terragni, A. & Hassani, M., 7 Sep 2018, Proceedings - 2018 IEEE 6th International Conference on Future Internet of Things and Cloud, FiCloud 2018. Younas, M. & Disso, J. P. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 224-229 6 p. 8458017

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)

Towards effective generation of synthetic memory references via markovian models

Cuzzocrea, A., Mumolo, E., Hassani, M. & Grasso, G. M., 8 Jun 2018, Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. Demartini, C., Reisman, S., Liu, L., Tovar, E., Takakura, H., Yang, J-J., Lung, C-H., Ahamed, S. I., Hasan, K., Conte, T., Nakamura, M., Zhang, Z., Akiyama, T., Claycomb, W. & Cimato, S. (eds.). Piscataway: IEEE Computer Society, p. 199-203 5 p. 8377857

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
2017

Automated pattern analysis in gesture research : similarity measuring in 3D motion capture models of communicative action

Schueller, D., Beecks, C., Hassani, M., Hinnell, J., Brenger, B., Seidl, T. & Mittelberg, I., 2017, In : Digital Humanities Quarterly. 11, 2, p. 1-14

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
74 Downloads (Pure)

Detecting change processes in dynamic networks by frequent graph evolution rule mining

Scharwächter, E., Müller, E., Donges, J., Hassani, M. & Seidl, T., 31 Jan 2017, 16th IEEE International Conference on Data Mining, ICDM 2016; Barcelona, Catalonia; Spain; 12 December 2016 through 15 December 2016. Piscataway: Institute of Electrical and Electronics Engineers, p. 1191-1196 6 p. 7837971

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Incremental temporal pattern mining using efficient batch-free stream clustering

Lu, Y., Hassani, M. & Seidl, T., 27 Jun 2017, SSDBM 2017: 29th International Conference on Scientific and Statistical Database Management, 27-29 June 2017, Chicago, Illinois. New York: Association for Computing Machinery, Inc, p. 1-12 7

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
1 Downloads (Pure)

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

Hassani, M., Töws, D. & Seidl, T., 3 Apr 2017, 32nd Annual ACM Symposium on Applied Computing, SAC 2017. New York: Association for Computing Machinery, Inc, p. 866-869 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

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

Hassani, M. & Seidl, T., 1 Aug 2017, In : Vietnam Journal of Computer Science. 4, 3, p. 171–183 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
105 Downloads (Pure)
2016

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

Hassani, M., Lu, Y., Wischnewsky, J. & Seidl, T., 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) : 24-29 July 2016, Vancouver, Canada . Piscataway: Institute of Electrical and Electronics Engineers, p. 2128-2135

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Clustering big data streams: recent challenges and contributions

Hassani, M. & Seidl, T., Aug 2016, In : IT - Information Technology. 58, 4, p. 206-213

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
120 Downloads (Pure)

Efficient distance-based gestural pattern mining in spatiotemporal 3D motion capture databases

Beecks, C., Hassani, M., Obeloer, F. & Seidl, T., 29 Jan 2016, 15th IEEE International Conference on Data Mining workshop 14-17 November 2015, Atlantic City, New Jersey : Proceedings. Cui, P., Dy, J., Aggarwal, C., Zhou, Z-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 1425-1432 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Efficient query processing in 3D motion capture databases via lower bound approximation of the gesture matching distance

Beecks, C., Hassani, M., Obeloer, F. & Seidl, T., 25 Mar 2016, 2015 IEEE International Symposium on Multimedia (ISM 2015) : 14-16 December 2015, Miami, Florida, USA : Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, p. 148-153 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Efficient query processing in 3D motion capture gesture databases

Beecks, C., Hassani, M., Brenger, B., Hinnell, J., Schueller, D., Mittelberg, I. & Seidl, T., Mar 2016, In : International Journal of Semantic Computing. 10, 1, p. 5-25

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
5 Citations (Scopus)
67 Downloads (Pure)

I-HASTREAM: density-based hierarchical clustering of big data streams and its application to big graph analytics tools

Hassani, M., Spaus, P., Cuzzocrea, A. & Seidl, T., 18 Jul 2016, Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016. Institute of Electrical and Electronics Engineers, p. 656-665 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Towards an efficient ranking of interval-based patterns

Hassani, M., Lu, Y. & Seidl, T., 2016, Advances in Database Technology - EDBT 2016. 19th International Conference on Extending Database Technology, Bordeaux, France, March 15-16, 2016. Proceedings. Pitoura, E., Maabout, S., Koutrika, G., Marian, A., Tanca, L., Manolescu, I. & Stefanides, K. (eds.). Konstanz: OpenProceedings.org, p. 688-689 2 p. (Open Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
2 Citations (Scopus)
2015

Adaptive stream clustering using incremental graph maintenance

Hassani, M., Spaus, P., Cuzzocrea, A. & Seidl, T., 2015, Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 10 August 10, 2015. p. 49-64 16 p. (JMLR Workshop and Conference Proceedings; vol. 41).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Efficient clustering of big data streams

Hassani, M., 29 Apr 2015, Aachen: Apprimus. 278 p.

Research output: ThesisPhd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

Open Access
File
291 Downloads (Pure)

Efficient process discovery from event streams using sequential pattern mining

Hassani, M., Siccha, S., Richter, F. & Seidl, T., 2015, 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 : 8-10 December 2015, Cape Town, South Africa. Piscataway: Institute of Electrical and Electronics Engineers, p. 1366-1373 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

27 Citations (Scopus)
3 Downloads (Pure)

Internal clustering evaluation of data streams

Hassani, M. & Seidl, T., 2015, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers. Li, X-L., Cao, T., Lim, E-P., Zhou, Z-H., Ho, T-B., Cheung, D. & Motoda, H. (eds.). p. 198-209 12 p. (Lecture Notes in Artificial Intelligence; vol. 9441).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Mining sequential patterns of event streams in a smart home application

Hassani, M., Beecks, C., Töws, D. & Seidl, T., 2015, Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. FGDB. Trier, Germany, October 7-9, 2015. Bergmann, R., Görg, S. & Müller, G. (eds.). CEUR-WS.org, p. 159-170 12 p. (CEUR workshop Proceedings; vol. 1458).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Optimizing sequential pattern mining within multiple streams

Töws, D., Hassani, M., Beecks, C. & Seidl, T., 2015, Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2.-3. März 2015, Hamburg, Germany. Ritter, N., Heinrich, A., Lehner, W., Thor, A., Friedrich, S. & Wingerath, W. (eds.). Bonn: Gesellschaft fuer Informatik, p. 223-232 10 p. (Lecture Notes in Informatics; vol. P-242).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Parallel density-based stream clustering using a multi-user GPU scheduler

Tarakji, A., Hassani, M., Georgiev, L., Seidl, T. & Leupers, R., 26 May 2015, Beyond Databases, Architectures and Structures - 11th International Conference, BDAS 2015, Ustron, Poland, May 26-29, 2015, Proceedings. Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B. & Kostrzewa, D. (eds.). Cham: Springer, p. 343-360 18 p. (Communications in Computer and Information Science; vol. 521).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Sequential pattern mining of multimodal streams in the humanities

Hassani, M., Beecks, C., Töws, D., Serbina, T., Haberstroh, M., Niemietz, P., Jeschke, S., Neumann, S. & Seidl, T., 2015, Datenbanksysteme für Business, Technologie und Web (BTW), 16. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), 4.-6.3.2015 in Hamburg, Germany. Proceedings. Seidl, T., Ritter, N., Schöning, H., Sattler, K-U., Härder, T., Friedrich, S. & Wingerath, W. (eds.). p. 683-686 4 p. (Lecture Notes in Informatics; vol. 241).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

Spatiotemporal similarity search in 3D motion capture gesture streams

Beecks, C., Hassani, M., Hinnell, J., Schüller, D., Brenger, B., Mittelberg, I. & Seidl, T., 2015, Advances in Spatial and Temporal Databases: 14th International Symposium, SSTD 2015, Hong Kong, China, August 26-28, 2015. Proceedings. Claramunt, C., Schneider, M., Chi-Wing Wong, R., Xiong, L., Loh, W-K., Shahabi, C. & Li, K-J. (eds.). Springer, p. 355-372 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9239).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

12 Citations (Scopus)

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

Hassani, M., Kim, Y., Choi, S. & Seidl, T., 2015, In : Journal of Intelligent Information Systems. 45, 3, p. 319-335 17 p.

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
2014

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

Assam, R., Hassani, M., Brysch, M. & Seidl, T., 2014, Conference on Scientific and Statistical Database Management, SSDBM '14, Aalborg, Denmark, June 30 - July 02, 2014. p. 17:1-17:12

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Adaptive multiple-resolution stream clustering

Hassani, M., Spaus, P. & Seidl, T., 2014, Machine Learning and Data Mining in Pattern Recognition - 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings. Perner, P. (ed.). Cham: Springer, p. 134-148 15 p. (LNAI; vol. 8556).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

9 Citations (Scopus)
1 Downloads (Pure)

Efficient streaming detection of hidden clusters in big data using subspace stream clustering

Hassani, M. & Seidl, T., 2014, Database Systems for Advanced Applications - 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM - 3 - , UnCrowd; Bali, Indonesia, April 21-24, 2014, Revised Selected Papers. Han, W-S., Lee, M. L., Muliantara, A., Sanjaya, N. A., Talheim, B. & Zhou, S. (eds.). Heidelberg: Springer, p. 146-160 15 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Parallel implementation of a density-based stream clustering algorithm over a GPU scheduling system

Hassani, M., Tarakji, A., Georgiev, L. & Seidl, T., 2014, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers. Peng, W-C., Wang, H., Bailey, J., Tseng, V. S., Ho, T. B., Zhou, Z-H. & Chen, A. L. P. (eds.). Cham: Springer, p. 441-453 13 p. (Lecture Notes in Artificial Intelligence (LNAI); vol. 8643).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Proceedings of the 16th LWA Workshops : KDML, IR and FGWM, September 8-10, 2014, Aachen, Germany

Seidl, T. (ed.), Hassani, M. (ed.) & Beecks, C. (ed.), 2014, CEUR-WS.org. (CEUR Workshop Proceedings)

Research output: Book/ReportBook editingAcademicpeer-review

Subspace anytime stream clustering

Hassani, M., Kranen, P., Saini, R. & Seidl, T., 2014, Conference on Scientific and Statistical Database Management, SSDBM '14, Aalborg, Denmark, June 30 - July 02, 2014. p. 37:1-37:4

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
2013

Effective evaluation measures for subspace clustering of data streams

Hassani, M., Kim, Y., Choi, S. & Seidl, T., 2013, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers. p. 342-353 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

HealthNet : a system for mobile and wearable health information management

Quix, C., Barnickel, J., Geisler, S., Hassani, M., Kim, S., Li, X., Lorenz, A., Quadflieg, T., Gries, T., Jarke, M., Leonhardt, S., Meyer, U. & Seidl, T., 2013, Proceedings of the 3rd International Workshop on Information Management for Mobile Applications, Riva del Garda, Italy, August 26, 2013.. p. 36-43 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Subspace MOA : subspace stream clustering evaluation using the MOA framework

Hassani, M., Kim, Y. & Seidl, T., 2013, Database Systems for Advanced Applications, 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part II. p. 446-449 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Using a multitasking GPU environment for content-based similarity measures of big data

Tarakji, A., Hassani, M., Lankes, S. & Seidl, T., 2013, Computational Science and Its Applications - ICCSA 2013 - 13th International Conference, Ho Chi Minh City, Vietnam, June 24-27, 2013, Proceedings, Part V. p. 181-196 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
2012

BT* : an advanced algorithm for anytime classification

Kranen, P., Hassani, M. & Seidl, T., 2012, Scientific and Statistical Database Management - 24th International Conference, SSDBM 2012, Chania, Crete, Greece, June 25-27, 2012. Proceedings. p. 298-315 18 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)

Density-based projected clustering of data streams

Hassani, M., Spaus, P., Gaber, M. & Seidl, T., 2012, Scalable Uncertainty Management - 6th International Conference, SUM 2012, Marburg, Germany, September 17-19, 2012. Proceedings. p. 311-324 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

28 Citations (Scopus)

Differential private trajectory obfuscation

Assam, R., Hassani, M. & Seidl, T., 2012, Mobile and Ubiquitous Systems: Computing, Networking, and Services - 9th International Conference, MobiQuitous 2012, Beijing, China, December 12-14, 2012. Revised Selected Papers. p. 139-151 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Differential private trajectory protection of moving objects

Assam, R., Hassani, M. & Seidl, T., 2012, Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS@SIGSPATIAL 2012, Redondo Beach, California, USA, November 6, 2012. p. 68-77 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)