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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 11 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
13 years 10 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
MOBICOM
2010
ACM
13 years 10 months ago
SMS-based web search for low-end mobile devices
Short Messaging Service (SMS) based mobile information services have become increasingly common around the world, especially in emerging regions among users with low-end mobile de...
Jay Chen, Lakshminarayanan Subramanian, Eric A. Br...
GLOBECOM
2008
IEEE
13 years 10 months ago
Correlation Among Piecewise Unwanted Traffic Time Series
In this paper, we investigate temporal and spatial correlations of time series of unwanted traffic (i.e., darknet or network telescope traffic) in order to estimate statistical beh...
Kensuke Fukuda, Toshio Hirotsu, Osamu Akashi, Tosh...
ADHOC
2008
103views more  ADHOC 2008»
13 years 10 months ago
Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization
Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-...
Chuang-Wen You, Polly Huang, Hao-Hua Chu, Yi-Chao ...
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