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Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming.
Katsuki Fujisawa
Yukinobu Hamuro
Naoki Katoh
Takeshi Tokuyama
Katsutoshi Yada
Published in:
Discovery Science (1999)
Keyphrases
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semidefinite programming
association rules
numerical attributes
categorical attributes
linear programming
data mining
primal dual
kernel matrix
optimal solution
dynamic programming
knowledge discovery
neural network
data sets
machine learning
high dimensional
approximation algorithms