An Enhanced Human Interaction Pattern Mining using Improved Genetic Based Partial Ancestral Graph

Abstract

With growing technology and impact of social media, huge amount of data gets piled up.
Mining such data will give us valuable information, which can be used for data analytics.
Detecting human interaction in meetings is useful to determine the opinion and reactions of
persons in various scenarios.This paper presentsan efficient pattern mining approach to derive
patterns in human interactions during a public gathering or meeting based on the concept of
natural inspired optimization technique and genetic based ancestral graphical model.The
experimental results show that the extractedpatterns are useful for interpretation of human
behavior in meeting discussions in terms of execution time and number of frequent
interactions detected.