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» Continuous subspace clustering in streaming time series
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DKE
2007
95views more  DKE 2007»
13 years 7 months ago
Warping the time on data streams
Continuously monitoring through time the correlation/distance of multiple data streams is of interest in a variety of applications, including financial analysis, video surveillanc...
Paolo Capitani, Paolo Ciaccia
JSSPP
2007
Springer
14 years 1 months ago
QBETS: Queue Bounds Estimation from Time Series
Most space-sharing parallel computers presently operated by high-performance computing centers use batch-queuing systems to manage processor allocation. Because these machines are...
Daniel Nurmi, John Brevik, Richard Wolski
ACSW
2004
13 years 9 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
MM
1997
ACM
97views Multimedia» more  MM 1997»
13 years 11 months ago
A Failure and Overload Tolerance Mechanism for Continuous Media Servers
–Large scale clustered continuous media (CM) servers deployed in applications like video-on-demand have high availability requirements. In the event of server failure, streams fr...
Rajesh Krishnan, Dinesh Venkatesh, Thomas D. C. Li...
JIIS
2007
150views more  JIIS 2007»
13 years 7 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...