Glowworm Swarm Optimization Algorithm for Retrieval of High Utility Itemsets
C. Sivamathi, G. S. Karthick, S. Vijayarani · 2024
Utility mining is a recent mounting field in data mining. It has many research directions like Negative profit, On-shelf utility mining, rare utility itemset mining, utility based Association rule mining, Utility Sequence mining etc. All such research areas focus on single level transaction database. A very little attention was paid towards multi-level utility mining. In this work, high utility itemsets are generated from Multi level database, using Glowworm Swarm Optimization algorithm. This algorithm consists of four phases: Initialization, Fitness function, Luciferin-update phase and Movement phase. These phases are made to handle transaction database and are implemented to retrieve high utility itemsets. In experimental results the proposed algorithm was compared with existing PSO, GA, ACO optimization algorithms. Execution time, Memory space occupied and number of high utility itemsets retrieved are considered as performance measures.