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» Application of Fuzzy Rule Induction to Data Mining
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SGAI
2007
Springer
14 years 1 months ago
Towards a Computationally Efficient Approach to Modular Classification Rule Induction
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...
Frederic T. Stahl, Max Bramer
FUZZIEEE
2007
IEEE
14 years 1 months ago
Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem
— One of the main advantages of fuzzy modeling is the ability to yield interpretable results. Amongst these modeling methods, the OLS algorithm is a mathematically robust techniq...
Sébastien Destercke, Serge Guillaume, Brigi...
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
14 years 8 months ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...
PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
13 years 11 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
13 years 11 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock