Publikationen

7 Ergebnisse

2016

Hassani M., Alfredo Cuzzocrea, Spaus P., Seidl T.:
I-HASTREAM: A Density-Based Hierarchical Clustering of Big Data Streams and Its Application to Big Graph Analytics Tools
IEEE/ACM International Workshop onDistributed Big Data Management in conjunction with the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (IEEE/ACM CCGRID 2016) (to appear) (2016)
[DBDM 2016] [CCGRID 2016]

2015

Hassani M., Spaus P., Seidl T.:
Multiple-Resolution Stream Clustering Using Graph Maintenance
Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. Trier, Germany, 7th -9th October 2015 S.32 (2015)
[LWA 2015]
Hassani M.:
Efficient Clustering of Big Data Streams
Dissertation, Fakultät für Mathematik, Informatik und Naturwissenschaften, RWTH Aachen University (2015) Date of the oral exam: 26.01.2015. URN: urn:nbn:de:hbz:82-RWTH-2015-02790
[Apprimus (Publisher)] [RWTH Library]

2014

Hassani M., Kranen P., Saini R., Seidl T.:
Subspace Anytime Stream Clustering
Proc. of the 26th International Conference on Scientific and Statistical Database Management (SSDBM 2014), Aalborg, Denmark. (2014) Article No. 37
[SSDBM 2014]

2012

Kranen P., Hassani M., Seidl T.:
BT* - An Advanced Algorithm for Anytime Classification
Proc. of the 24th International Conference on Scientific and Statistical Database Management (SSDBM 2012), Chania, Greece S.298-315 (2012)
[SSDBM 2012]

2011

Hassani M., Kranen P., Seidl T.:
Precise Anytime Clustering of Noisy Sensor Data with Logarithmic Complexity
Proc. 5th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2011) in conjunction with 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA S.52-60 (2011)
[SensorKDD 2011] [KDD 2011]
Hassani M., Kranen P., Seidl T.:
Noise-aware Concise Clustering of Streaming Sensor Data in a Logarithmic Time
KDML Workshop on Knowledge Discovery, Data Mining and Machine Learning in conj. with LWA 2011, Magdeburg, Germany (2011)
[LWA 2011]