Certain Investigations on Bio Inspired based Metaheuristic Optimization model for High Utility Itemset Mining

Abstract

A novel Hybrid bio-inspired based optimization model for mining High Utility ltemsets problem in Knowledge Engineering for improving the performance metrics is achieved. The designed algorithm adopted the TWU (Transaction Weighted Utility) model to find the number of 1-HTWUIs as the particle size, which can greatly reduce the combinational problem in the evolution process. The computational time for mining the whole dataset is exponential as the size increases, this biological based evolution algorithms leads to an optimal solution in considerable amount of time.