AN OVERVIEW OF TRAJECTORY DATA MINING TECHNIQUES TO ENHANCE THE MOBILITY DETECTION

Abstract

Trajectory data mining plays a most important role in the real world application which
enables to predict the moving location details of humans, vehicles, animals and so on.
Trajectory data analysis is a most difficult task due to frequent changing location details of
humans due to its continuous mobility. Trajectorydata might consist of more noise details
which is more complex to analysis. It is required to have more concentration on the trajectory
data analysis to ensure the accurate trajectory data mining outcome. There are various
research methods had been proposed by different researchers to perform the analysis of
trajectory data. In this analysis work, discussion of various trajectory data analysis techniques
has been given. This analysis work provides the detailed discussion of working procedure of
each trajectory data analysis method with the samples. And also comparison evaluation of the
research techniques in terms of merits and demerits is given in order to evaluate the
performance. Finally numerical evaluation of the research techniques is provided based on
different performance metrics. From this numerical evaluation, best method has been chosen
as base work to enhance the trajectory data mining