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» Detecting Inconsistencies in Distributed Data
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VLDB
2005
ACM
112views Database» more  VLDB 2005»
14 years 2 months ago
REED: Robust, Efficient Filtering and Event Detection in Sensor Networks
This paper presents a set of algorithms for efficiently evaluating join queries over static data tables in sensor networks. We describe and evaluate three algorithms that take adv...
Daniel J. Abadi, Samuel Madden, Wolfgang Lindner
ICDM
2008
IEEE
235views Data Mining» more  ICDM 2008»
14 years 3 months ago
DECK: Detecting Events from Web Click-Through Data
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
CIDM
2007
IEEE
14 years 3 months ago
Incremental Local Outlier Detection for Data Streams
Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outlie...
Dragoljub Pokrajac, Aleksandar Lazarevic, Longin J...
ISCA
2009
IEEE
199views Hardware» more  ISCA 2009»
14 years 3 months ago
SigRace: signature-based data race detection
Detecting data races in parallel programs is important for both software development and production-run diagnosis. Recently, there have been several proposals for hardware-assiste...
Abdullah Muzahid, Darío Suárez Graci...
TITB
2010
104views Education» more  TITB 2010»
13 years 3 months ago
Time-frequency analysis of accelerometry data for detection of myoclonic seizures
Four time-frequency and time-scale methods are studied for their ability of detecting myoclonic seizures from accelerometric data. Methods that are used are: the short-time Fourier...
Tamara M. E. Nijsen, Ronald M. Aarts, Pierre J. M....