Publikationen

18 Ergebnisse

2014

Hassani M., Ayman Tarakji, Lyubomir Georgiev, Seidl T.:
Parallel Implementation of a Density-based Stream Clustering Algorithm over a GPU Scheduling System
Workshop on Scalable Data Analytics: Theory and Applications (SDA'14), held in conjunction with PAKDD'14 conference (18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan) (to appear) (2014)
[SDA14] [PAKDD14]
Hassani M., Seidl T.:
Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering
Workshop on Big Data Management and Analytics (BDMA'14), held in conjunction with DASFAA'14 conference (19th International Conference on Database Systems for Advanced Applications, Bali, Indonesia) (to appear) (2014)
[BDMA14] [DASFAA14]
Hassani M., Spaus P., Seidl T.:
Adaptive Multiple-Resolution Stream Clustering
In Proceedings of the 10th International Conference on Machine Learning and Data Mining MLDM 2014, July, 21-24, St. Petersburg, Russia (to appear). (2014)
[MLDM 2014]
Hassani M., Kim Y., Seungjin Choi, Seidl T.:
Subspace Clustering of Data Streams: New Algorithms and Effective Evaluation Measures
(JIIS) Journal of Intelligent Information Systems (to appear) (2014)

2013

Christoph Quix, Johannes Barnickel, Sandra Geisler, Hassani M., Saim Kim, Xiang Li, Andreas Lorenz, Till Quadflieg, Thomas Gries, Matthias Jarke, Steffen Leonhardt, Ulrike Meyer, Seidl T.:
HealthNet: A System for Mobile and Wearable Health Information Management
Proc. of the 3rd International Workshop on Information Management in Mobile Applications (IMMoA 2013) in conjunction with VLDB 2013, Riva del Garda, Trento, Italy. S.36-43 (2013)
[IMMoA 2013] [VLDB 2013]
Hassani M., Kim Y., Seungjin Choi, Seidl T.:
Effective Evaluation Measures for Subspace Clustering of Data Streams
The third Quality issues, measures of interestingness and evaluation of data mining models workshop (QIMIE'13), held in conjunction with PAKDD'13 conference (17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Gold Coast, Australia) S.342-353 (2013)
[QIMIE13] [PAKDD13]

2012

Hassani M., Seidl T.:
Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise
Journal of Digital Information Management (JDIM) Volume 10, No. 6, December 2012 S.410-420 (2012)
[JDIM ] [Volume 10, Issue 6, December 2012]
Hassani M., Spaus P., Mohamed Medhat Gaber, Seidl T.:
Density-Based Projected Clustering of Data Streams
The 6th International conference on Scalable Uncertainty Management (SUM 2012), Marburg, Germany. LNAI 7520 S.311-324 (2012)
[SUM 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]
Hassani M., Seidl T.:
Resource-Aware Distributed Clustering of Drifting Sensor Data Streams
The 4th International Conference on Networked Digital Technologies (NDT 2012), Dubai, UAE. S.592-607 (2012)
[NDT 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., Seidl T.:
Network Intrusion Detection using a Secure Ranking of Hidden Outliers
Proc. of the seventh International Computing Conference in Arabic (ICCA 2011), Riyadh, Saudi Arabia (to appear) (2011)
[ICCA 2011]
Hassani M., Seidl T.:
Towards a Mobile Health Context Prediction: Sequential Pattern Mining in Multiple Streams
Proc. of the international workshop on managing Health Information in Mobile Applications (HIMoA'11) in conjunction with the IEEE International conference on Mobile Data Management (MDM 2011), Luleå, Sweden. S.55-57 (2011)
[MDM 2011] [HIMoA 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]

2010

Hassani M., Müller E., Spaus P., Faqolli A., Palpanas T., Seidl T.:
Self-Organizing Energy Aware Clustering of Nodes in Sensor Networks Using Relevant Attributes
Proc. 4th International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2010) in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA S.87-96 (2010)
[SensorKDD 2010]
Hassani M., Seidl T.:
Network Intrusion Detection using a Secure Ranking of Hidden Outliers
Proceedings of the 15th Syrian Computer Society Meeting on Computer Network Security 27-28 October, Aleppo - Syria. Paper [PDF] (2010)
Hassani M.:
Distributed Processing of Data Streams and Large Data Sets
In: P. G. Kolaitis, M. Lenzerini and N. Schweikardt: Data Exchange, Integration, and Streams (GI-Dagstuhl-Seminar), Dagstuhl Seminar 10452. Slides [PDF]   (2010)
[Dagstuhl seminar homepage]

2009

Hassani M., Müller E., Seidl T.:
EDISKCO: Energy Efficient Distributed In-Sensor-Network K-center Clustering with Outliers
Proc. 3rd International Workshop on Knowledge Discovery from Sensor Data (SensorKDD 2009) in conjunction with 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris, France S.39-48 (2009)
[SensorKDD 2009]