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251
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ICDE
2002
IEEE
204views Database» more  ICDE 2002»
16 years 5 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
Sudipto Guha, Nick Koudas
134
Voted
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
16 years 28 days ago
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
138
Voted
CLOUD
2010
ACM
15 years 8 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
236
Voted
ICDE
2006
IEEE
285views Database» more  ICDE 2006»
16 years 5 months ago
An Approach to Adaptive Memory Management in Data Stream Systems
Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queri...
Bernhard Seeger, Jürgen Krämer, Michael ...
118
Voted
EDBT
2006
ACM
114views Database» more  EDBT 2006»
16 years 3 months ago
Resource Adaptive Periodicity Estimation of Streaming Data
Abstract. Streaming environments typically dictate incomplete or approximate algorithm execution, in order to cope with sudden surges in the data rate. Such limitations are even mo...
Michail Vlachos, Deepak S. Turaga, Philip S. Yu