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» Info-fuzzy algorithms for mining dynamic data streams
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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 9 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
GLOBECOM
2010
IEEE
15 years 1 months ago
On Comparing the Performance of Dynamic Multi-Network Optimizations
With a large variety of wireless access technologies available, multi-homed devices may strongly improve the performance and reliability of communication when using multiple networ...
Geert Jan Hoekstra, Robert D. van der Mei, J. W. B...
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 4 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
16 years 1 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
15 years 9 months ago
Automatic Web Page Classification in a Dynamic and Hierarchical Way
Automatic classification of web pages is an effective way to deal with the difficulty of retrieving information from the Internet. Although there are many automatic classification...
Xiaogang Peng, Ben Choi