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» Data Stream Clustering: Challenges and Issues
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IMC
2007
ACM
13 years 9 months ago
A data streaming algorithm for estimating entropies of od flows
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
Haiquan (Chuck) Zhao, Ashwin Lall, Mitsunori Ogiha...
TCSB
2008
13 years 7 months ago
Clustering Time-Series Gene Expression Data with Unequal Time Intervals
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Luis Rueda, Ataul Bari, Alioune Ngom
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 13 days ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
KDD
2009
ACM
217views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
ICASSP
2011
IEEE
12 years 11 months ago
Secure video processing: Problems and challenges
Secure signal processing is an emerging technology to enable signal processing tasks in a secure and privacy-preserving fashion. It has attracted a great amount of research attent...
Wenjun Lu, Avinash L. Varna, Min Wu