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Improving Bdd Cryptosystems In General Lattices, Willy Susilo, Thomas Plantard, Michael Rose
Improving Bdd Cryptosystems In General Lattices, Willy Susilo, Thomas Plantard, Michael Rose
Dr Thomas Plantard
No abstract provided.
A Regression-Based Approach For Improving The Association Rule Mining Through Predicting The Number Of Rules On General Datasets, Dien Tuan Le, Fenghui Ren, Minjie Zhang
A Regression-Based Approach For Improving The Association Rule Mining Through Predicting The Number Of Rules On General Datasets, Dien Tuan Le, Fenghui Ren, Minjie Zhang
Dr Fenghui Ren
Association rule mining is one of the useful techniques in data mining and knowledge discovery that extracts interesting relationships between items in datasets. Generally, the number of association rules in a particular dataset mainly depends on the measures of support and confidence To choose the number of useful rules, normally, the measures of support and confidence need to be tried many times. In some cases, the measures of support and confidence are chosen by experience. Thus, it is a time consuming to find the optimal measure of supportand confidence for the process of association rule mining in large datasets. This …