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» Detecting Inconsistencies in Distributed Data
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CISS
2008
IEEE
14 years 3 months ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
SEDE
2010
13 years 6 months ago
Metadata Services for Distributed Event Stream Processing Agents
Enterprise-level applications are becoming complex with the need for event and stream processing, multiple query processing and data analysis over heterogeneous data sources such ...
Mahesh B. Chaudhari, Suzanne W. Dietrich
KDD
2007
ACM
112views Data Mining» more  KDD 2007»
14 years 9 months ago
Statistical change detection for multi-dimensional data
This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data points, we define a statistic...
Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, S...
DEXA
2009
Springer
88views Database» more  DEXA 2009»
14 years 22 days ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
EUROPAR
2004
Springer
14 years 2 months ago
Detecting Data Races in Sequential Programs with DIOTA
In this paper we show that data races, a type of bug that generally only causes havoc in parallel programs, can also occur in sequential programs that use signal handlers. Fortunat...
Michiel Ronsse, Jonas Maebe, Koenraad De Bosschere