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CIARP
2010
Springer
14 years 8 months ago
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure
The aim of this paper is to present a dissimilarity measure strategy by which a new philosophy for pattern classification pertaining to dissimilaritybased classifications (DBCs) ca...
Sang-Woon Kim, Robert P. W. Duin
HPCA
2005
IEEE
15 years 10 months ago
Transition Phase Classification and Prediction
Most programs are repetitive, where similar behavior can be seen at different execution times. Proposed on-line systems automatically group these similar intervals of execution in...
Jeremy Lau, Stefan Schoenmackers, Brad Calder
AUSAI
2004
Springer
15 years 1 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
ICML
2008
IEEE
15 years 10 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar
DMIN
2006
132views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker