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» Sequential Change Detection on Data Streams
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ICAC
2006
IEEE
14 years 1 months ago
Enabling Self-Managing Applications using Model-based Online Control Strategies
— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
Viraj Bhat, Manish Parashar, Hua Liu, Mohit Khande...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 11 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
VTC
2008
IEEE
120views Communications» more  VTC 2008»
14 years 2 months ago
Low Backhaul Distributed Detection Strategies for an Interference Limited Uplink Cellular System
— This paper deals with multiuser detection through base station cooperation in uplink interference limited scenarios. At high frequency reuse, each base station not only receive...
Shahid Khattak, Gerhard Fettweis
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 4 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
VLDB
2005
ACM
122views Database» more  VLDB 2005»
14 years 1 months ago
Streaming Pattern Discovery in Multiple Time-Series
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
Spiros Papadimitriou, Jimeng Sun, Christos Falouts...