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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 6 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 6 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 6 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
CHI
2007
ACM
16 years 6 months ago
Effects of presenting geographic context on tracking activity between cameras
A common video surveillance task is to keep track of people moving around the space being monitored. It is often difficult to track activity between cameras because locations such...
Andreas Girgensohn, Frank M. Shipman III, Thea Tur...
CHI
2006
ACM
16 years 6 months ago
Responsiveness in instant messaging: predictive models supporting inter-personal communication
For the majority of us, inter-personal communication is an essential part of our daily lives. Instant Messaging, or IM, has been growing in popularity for personal and workrelated...
Daniel Avrahami, Scott E. Hudson
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