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ECAI
2004
Springer
15 years 10 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
GECCO
2004
Springer
15 years 10 months ago
GA-Facilitated Knowledge Discovery and Pattern Recognition Optimization Applied to the Biochemistry of Protein Solvation
Abstract. The authors present a GA optimization technique for cosinebased k-nearest neighbors classification that improves predictive accuracy in a class-balanced manner while sim...
Michael R. Peterson, Travis E. Doom, Michael L. Ra...
PCM
2004
Springer
91views Multimedia» more  PCM 2004»
15 years 10 months ago
A Rapid Scheme for Slow-Motion Replay Segment Detection
Abstract. Efficient data mining for digital video has become increasingly important in recent years. In this paper, we present a new scheme for automatic detection of slow-motion r...
Wei-Hong Chuang, Dun-Yu Hsiao, Soo-Chang Pei, Home...
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
15 years 10 months ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...
PRICAI
2004
Springer
15 years 10 months ago
Text Classification Using Belief Augmented Frames
: In this paper we present our work on applying Belief Augmented Frames to the text classification problem. We formulate the problem in two alternative ways, and we evaluate the pe...
Colin Keng-Yan Tan
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