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178
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
211
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ML
2010
ACM
15 years 5 months ago
2010
ACM
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
208
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HIPC
2009
Springer
15 years 4 months ago
2009
Springer
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
159
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WWW
2008
ACM
16 years 7 months ago
2008
ACM
It is a kind of privacy infraction in personalized web service if the user profile submitted to one web site transferred to another site without user permission. That can cause th...
191
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KDD
2002
ACM
16 years 7 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...