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ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
16 years 1 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
ECML
2007
Springer
16 years 22 days ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
ICIC
2007
Springer
16 years 22 days ago
Unbalanced Underground Distribution Systems Fault Detection and Section Estimation
This paper presents a novel fault detection and section estimation method for unbalanced underground distribution systems (UDS). The method proposed is based on artificial neural n...
Karen Rezende Caino de Oliveira, Rodrigo Hartstein...
VLDB
2005
ACM
129views Database» more  VLDB 2005»
16 years 1 days ago
Sketching Streams Through the Net: Distributed Approximate Query Tracking
Emerging large-scale monitoring applications require continuous tracking of complex dataanalysis queries over collections of physicallydistributed streams. Effective solutions hav...
Graham Cormode, Minos N. Garofalakis
EDBT
2009
ACM
173views Database» more  EDBT 2009»
15 years 11 months ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...