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» Evaluating algorithms that learn from data streams
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RTSS
2006
IEEE
15 years 10 months ago
Prediction-Based QoS Management for Real-Time Data Streams
With the emergence of large wired and wireless sensor networks, many real-time applications need to operate on continuous unbounded data streams. At the same time, many of these s...
Yuan Wei, Vibha Prasad, Sang Hyuk Son, John A. Sta...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 4 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
LREC
2008
139views Education» more  LREC 2008»
15 years 5 months ago
Automatic Learning and Evaluation of User-Centered Objective Functions for Dialogue System Optimisation
The ultimate goal when building dialogue systems is to satisfy the needs of real users, but quality assurance for dialogue strategies is a non-trivial problem. The applied evaluat...
Verena Rieser, Oliver Lemon
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 4 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
INFOCOM
2006
IEEE
15 years 10 months ago
MobiStream: Error-Resilient Video Streaming in Wireless WANs Using Virtual Channels
—We present MobiStream— a video streaming system that exploits the perceptual value in video content and the characteristics of the link layer and physical layer channels to en...
Rajiv Chakravorty, Suman Banerjee, Samrat Ganguly