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» An Approach to Generation of Decision Rules
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IJCSS
2000
86views more  IJCSS 2000»
14 years 9 months ago
Discovering hierarchical decision rules with evolutive algorithms in supervised learning
This paper describes a new approach, HIDER (HIerarchical DEcision Rules), for learning rules in continuous and discrete domains based on evolutive algorithms. The algorithm produce...
José Cristóbal Riquelme Santos, Jes&...
ASC
2011
14 years 4 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
IJCAI
1989
14 years 10 months ago
Generating Better Decision Trees
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
Steven W. Norton
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 3 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
RSCTC
2000
Springer
146views Fuzzy Logic» more  RSCTC 2000»
15 years 1 months ago
An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle
Induction of decision rules within the dominance-based rough set approach to the multiple-criteria sorting decision problem is discussed in this paper. We introduce an algorithm ca...
Salvatore Greco, Benedetto Matarazzo, Roman Slowin...