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» Detecting Change in Data Streams
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NAACL
2010
13 years 6 months ago
Streaming First Story Detection with application to Twitter
With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the probl...
Sasa Petrovic, Miles Osborne, Victor Lavrenko
IJSNET
2010
122views more  IJSNET 2010»
13 years 7 months ago
Ensuring high sensor data quality through use of online outlier detection techniques
: Data collected by Wireless Sensor Networks (WSNs) are inherently unreliable. Therefore, to ensure high data quality, secure monitoring, and reliable detection of interesting and ...
Yang Zhang, Nirvana Meratnia, Paul J. M. Havinga
COMAD
2009
13 years 10 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
BMCBI
2010
127views more  BMCBI 2010»
13 years 9 months ago
SplicerAV: a tool for mining microarray expression data for changes in RNA processing
Background: Over the past two decades more than fifty thousand unique clinical and biological samples have been assayed using the Affymetrix HG-U133 and HG-U95 GeneChip microarray...
Timothy J. Robinson, Michaela A. Dinan, Mark Dewhi...
SIGMOD
2007
ACM
164views Database» more  SIGMOD 2007»
14 years 9 months ago
Fast data stream algorithms using associative memories
The primary goal of data stream research is to develop space and time efficient solutions for answering continuous online summarization queries. Research efforts over the last dec...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...