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SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
16 years 3 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...
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...
ICDE
2006
IEEE
285views Database» more  ICDE 2006»
16 years 4 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 ...
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
MLDM
2009
Springer
15 years 9 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...