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GRC
2005
IEEE
14 years 1 months ago
Discovering and ranking important rules
— Decision rules generated from reducts can fully describe a data set. We introduce a new method of evaluating rules by taking advantage of rough sets theory. We consider rules g...
Jiye Li, Nick Cercone
SDM
2008
SIAM
197views Data Mining» more  SDM 2008»
13 years 8 months ago
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measure...
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodor...
AAAI
1998
13 years 8 months ago
Hermes: Supporting Argumentative Discourse in Multi-Agent Decision Making
This paper describes HERMES,a system that enhances group decision making by providing an argumentation frameworkto the agents involved. Thesystem organizes the existing knowledgei...
Nikos I. Karacapilidis, Dimitris Papadias
IJCSS
2000
79views more  IJCSS 2000»
13 years 7 months ago
Impact of learning set quality and size on decision tree performances
Abstract. The quality of a decision tree is usually evaluated through its complexity and its generalization accuracy. Tree-simpli
Marc Sebban, Richard Nock, Jean-Hugues Chauchat, R...
IJIT
2004
13 years 8 months ago
Evaluation of Algorithms for Sequential Decision in Biosonar Target Classification
A sequential decision problem, based on the task of identifying the species of trees given acoustic echo data collected from them, is considered with well-known stochastic classifi...
Turgay Temel, John Hallam