CBGP: Classification Based on Gradual Patterns

In this paper, we address the issue of mining gradual classification rules. In general, gradual patterns refer to regularities such as "The older a person, the higher his salary''. Such patterns are extensively and successfully used in command-based systems, especially in fuzzy comman...

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Bibliographic Details
Main Authors: Choong, Yeow Wei, Di Jorio, Lisa, Laurent, Anne, Laurent, Dominique, Teisseire, Maguelonne
Format: Conference Proceeding
Language:English
Subjects:
Cancer
classification
Classification tree analysis
Data mining
Decision trees
Educational institutions
Fuzzy systems
Gene expression
gradual rules
Neoplasms
Pattern recognition
Remuneration
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Summary:In this paper, we address the issue of mining gradual classification rules. In general, gradual patterns refer to regularities such as "The older a person, the higher his salary''. Such patterns are extensively and successfully used in command-based systems, especially in fuzzy command applications. However, in such applications, gradual patterns are supposed to be known and/or provided by an expert, which is not always realistic in practice. In this work, we aim at mining from a given training dataset such gradual patterns for the generation of gradual classification rules. Gradual classification rules thus refer to rules where the antecedent is a gradual pattern and the conclusion is a class value.
DOI:10.1109/SoCPaR.2009.15