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» Decision Tree for Dynamic and Uncertain Data Streams
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CVPR
2004
IEEE
14 years 9 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
ISIPTA
1999
IEEE
139views Mathematics» more  ISIPTA 1999»
13 years 12 months ago
Rational Decision Making With Imprecise Probabilities
Decision criteria based on an imprecise probability representation of uncertainty have been criticized, from the normative point of view, on the grounds that they make the decisio...
Jean-Yves Jaffray
DASFAA
2006
IEEE
153views Database» more  DASFAA 2006»
13 years 11 months ago
Dissemination of Dynamic Data: Semantics, Algorithms, and Performance
Abstract The Internet and the Web are increasingly used to disseminate fast changing data such as sensor data, traffic and weather information, stock prices, sports scores, and eve...
Krithi Ramamritham
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 4 days ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...