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EDBT
2008
ACM
206views Database» more  EDBT 2008»
16 years 6 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
16 years 6 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
MIR
2010
ACM
176views Multimedia» more  MIR 2010»
16 years 1 months ago
Object-based tag propagation for semi-automatic annotation of images
Over the last few years, social network systems have greatly increased users’ involvement in online content creation and annotation. Since such systems usually need to deal with...
Ivan Ivanov, Peter Vajda, Lutz Goldmann, Jong-Seok...
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 10 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
JPDC
2006
146views more  JPDC 2006»
15 years 6 months ago
A semi-static approach to mapping dynamic iterative tasks onto heterogeneous computing systems
Minimization of the execution time of an iterative application in a heterogeneous parallel computing environment requires an appropriate mapping scheme for matching and scheduling...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay ...