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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 2 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 6 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
CCGRID
2009
IEEE
15 years 11 months ago
Programming Abstractions for Data Intensive Computing on Clouds and Grids
Chris Miceli, Michael Miceli, Shantenu Jha, Hartmu...
CCGRID
2009
IEEE
15 years 9 months ago
Multi-Tiered On-Demand Resource Scheduling for VM-Based Data Center
Ying Song, Hui Wang, Yaqiong Li, Binquan Feng, Yuz...