This repository contains Python scripts for applying the Apriori algorithm to generate association rules from transaction data. The scripts are designed to process a dataset containing various items ...

Abstract: A frequent item set mining algorithm based on bit combination is proposed in this paper. Frequent item set mining algorithm based on bit combination is an algorithm that searches for ...

Computerized adaptive testing (CAT) greatly improves measurement efficiency in high-stakes testing operations through the selection and administration of test items with the difficulty level that is ...

Abstract: Data mining is an efficient technology to discover patterns in large databases. Association rule mining techniques are used to find the correlation between the various item sets in the ...