An Enhanced Human Interaction Pattern Mining Using Genetic Based Partial Ancestral Graph Meet

Abstract

Opinion mining manages information recovery and sentiment analysis manages assessing the recovered information. The need to comprehend popular opinions has become because of the viral idea of web based life where the opinions are circulated unevenly and quickly. The primary aim of this paper is to propose a Genetic based Partial Ancestral Graph (PAG) meet approach named as Genetic PAG Meet for deriving patterns in human interactions during a public gathering or meeting and compare it with an existing Partial Ancestral Graph approach. The proposed approach gives a better optimized effective solution in pattern mining of human interactions and the proof for the same are simulated using appropriate simulation tools and an analysis of the same with inference is given.