In this paper, we developed a binary particle swarm optimization (BPSO) based association
rule miner. Our BPSO based association rule miner generates the association rules from the …

Association rule mining meeting a variety of measures is regarded as a multi-objective
optimization problem rather than a single objective optimization problem. The convergent …

An effective data mining method to automatically extract association rules between
manufacturing capabilities and product features from the available historical data is …

Association rules have important applications in many fields, however, with the explosive
growth of information technology in recent years, the mining efficiency of association rules …

In this paper, we formulated association rule mining as a combinatorial, multi-objective
global optimization problem by considering measures such as support, confidence …

Improving the process of strategic management in hospitals preparation and equipping the
intensive care units (ICUs) and the availability of medical devices plays an important role for …

This chapter proposes three novel association rule mining algorithms based on hybrid
evolutionary techniques, which obviate the necessity of pre-specifying the minimum support …

In association rule mining most of former researches have worked on analytic optimizing
method, but finding and specifying the advocate initiation limit influences on association rule …

Almost every global economy has now entered the digital era. Most stores are trading online
and they are highly competitive. Traditional association rule mining is not suitable for online …

In this chapter, we model association rule mining as a Fuzzy multi-objective global
optimization problem by considering several measures of strength such as support …