ON THE USE OF ELEPHANT HERDING OPTIMIZATION FOR MINING PROFITABLE PATTERNS
Keywords:
Data mining, Association Rule Mining (ARM), Profitable Pattern Mining (PPM), Rough Set Theory (RST), Elephant Herding Optimization (EHOAbstract
Profitable pattern mining explores the zone that highlights the motive of business. Every business aims the most conspicuous element i.e. Profit. To achieve the desired goal researchers determined the innovative way to generate the association rules based on profit.
This paper delineates a structure for mining profitable patterns using rough set theory followed by association rule mining algorithm and optimizing the results using Elephant Herding Optimization (EHO) algorithm. EHO is comparatively a new swarm intelligence metaheuristic algorithm that imitates the collective behavior of species from nature. The proposed approach generates profitable patterns (optimized) which will be advantageous for decision making in business. The obtained results are compared with the genetic algorithm which shows that EHO produces the most optimal (profitable) patterns as well as in a reduced time.
