Dare to share: Protecting sensitive knowledge with data sanitization
Decision Support Systems
An expert system for detection of breast cancer based on association rules and neural network
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Wavelet domain association rules for efficient texture classification
Applied Soft Computing
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A new type of texture feature based on association rules is described. Association rules have been used in applications such as market basket analysis to capture relationships present among items in large data sets. It is shown that association rules can be adapted to capture frequently occurring local structures in images. The frequency of occurrence of these structures can be used to characterize texture. Methods for segmentation of textured images based on association rule features are described. Simulation results using images consisting of man made and natural textures show that association rule features perform well compared to other widely used texture features. Association rule features are used to detect cumulus cloud fields in GOES satellite images and are found to achieve higher accuracy than other statistical texture features for this problem.