Kanimozhi Selvi

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Problem statement: Frequent itemset mining is an important task in data mining to discover the hidden, interesting associations between items in the database based on the user-specified support and confidence thresholds. Approach: In order to find important associations, an appropriate support threshold has to be specified. The support threshold plays a key(More)
In this paper 2D Otsu algorithm based on particle swarm optimization (PSO) is proposed to segment CT lung images. This method can extract pulmonary parenchyma from multisliced CT images, which is primary step to detect the pulmonary disease such as lung cancer, tumor, and mass cells. In the automated pulmonary disease diagnosis, image segmentation plays an(More)
236 Abstract— Mining association rules is an important task in data mining. It discovers the hidden, interesting relationships (associations) between items in the database based on the user-specified support and confidence thresholds. In order to find relevant associations one has to specify an appropriate support threshold. The support threshold plays an(More)
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