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» Intervention Events Detection and Prediction in Data Streams
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GRID
2006
Springer
13 years 7 months ago
Snapshot Processing in Streaming Environments
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...
Daniel M. Zimmerman, K. Mani Chandy
EDBT
2009
ACM
136views Database» more  EDBT 2009»
14 years 2 months ago
Rule-based multi-query optimization
Data stream management systems usually have to process many long-running queries that are active at the same time. Multiple queries can be evaluated more efficiently together tha...
Mingsheng Hong, Mirek Riedewald, Christoph Koch, J...
ICDE
2006
IEEE
167views Database» more  ICDE 2006»
14 years 9 months ago
Better Burst Detection
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
Xin Zhang, Dennis Shasha
RECOMB
2008
Springer
14 years 8 months ago
DLIGHT - Lateral Gene Transfer Detection Using Pairwise Evolutionary Distances in a Statistical Framework
Abstract. This paper presents an algorithm to detect lateral gene transfer (LGT) on the basis of pairwise evolutionary distances. The prediction is made from a likelihood ratio der...
Christophe Dessimoz, Daniel Margadant, Gaston H. G...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 7 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...