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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
15 years 10 months ago
Single-pass online learning: performance, voting schemes and online feature selection
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...
Vitor R. Carvalho, William W. Cohen
ML
2010
ACM
142views Machine Learning» more  ML 2010»
14 years 8 months ago
Fast adaptive algorithms for abrupt change detection
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...
Daniel Nikovski, Ankur Jain
HIPC
2009
Springer
14 years 7 months ago
Highly scalable algorithm for distributed real-time text indexing
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...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
EDBT
2011
ACM
225views Database» more  EDBT 2011»
14 years 1 months ago
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For applicati...
Zhixian Yan, Dipanjan Chakraborty, Christine Paren...
WWW
2008
ACM
15 years 10 months ago
Web user de-identification in personalization
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...
Jiaqian Zheng, Jing Yao, Junyu Niu