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» Improving the SLA Algorithm Using Association Rules
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SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 1 months ago
Maximizing the Area under the ROC Curve with Decision Lists and Rule Sets
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
Henrik Boström
AAIM
2005
Springer
110views Algorithms» more  AAIM 2005»
15 years 6 months ago
Dynamically Updating the Exploiting Parameter in Improving Performance of Ant-Based Algorithms
Abstract. The utilization of pseudo-random proportional rule to balance between the exploitation and exploration of the search process was shown in Ant Colony System (ACS) algorith...
Hoang Trung Dinh, Abdullah Al Mamun, Hieu T. Dinh
ISCI
2011
14 years 7 months ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag
120
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ICTAI
1992
IEEE
15 years 4 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
IJCNN
2008
IEEE
15 years 7 months ago
Learning associations of conjuncted fuzzy sets for data prediction
— Fuzzy Associative Conjuncted Maps (FASCOM) is a fuzzy neural network that represents information by conjuncting fuzzy sets and associates them through a combination of unsuperv...
Hanlin Goh, Joo-Hwee Lim, Chai Quek