Evaluating the performance of cost-based discretization versus entropy- and error-based discretization

DOI10.1016/j.cor.2005.01.022zbMath1113.90093OpenAlexW2118716686MaRDI QIDQ2499141

Davy Janssens, Geert Wets, Tom Brijs, Koen Vanhoof

Publication date: 14 August 2006

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1942/1511

zbMATH Keywords

discretizationcost-sensitive learningROC-curve

Mathematics Subject Classification ID

Operations research and management science (90B99)

Related Items (3)

Logical analysis of data as a tool for the analysis of probabilistic discrete choice behavior ⋮ Synergies of operations research and data mining ⋮ A novel univariate marginal distribution algorithm based discretization algorithm

Uses Software

• UCI-ml
• HandTill2001
• C4.5

Cites Work

• On the handling of continuous-valued attributes in decision tree generation
• General and efficient multisplitting of numerical attributes
• Very simple classification rules perform well on most commonly used datasets
• A NEW MEASURE OF RANK CORRELATION
• A simple generalisation of the area under the ROC curve for multiple class classification problems
• Multivariate discretization for set mining
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