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 ...

Abstract: It propose online mining algorithm ( OMA) which online discover large item sets. Without pre-setting a default threshold, the OMA algorithm achieves its efficiency and threshold-flexibility ...

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 ...

With known item response theory (IRT) item parameters, Lord and Wingersky provided a recursive algorithm for computing the conditional frequency distribution of number-correct test scores, given ...

An algorithm is presented for the special integer linear program known as the set partitioning problem. This problem has a binary coefficient matrix, binary variables, and unit resources. Furthermore, ...