Spatio-temporal Data Mining

Abstract

As the volume, variety, and veracity of spatio-temporal datasets increase, traditional statistical methods for dealing with such data are becoming overwhelmed. Nevertheless, spatio-temporal data are rich sources of information and knowledge, waiting to be discovered. The field of spatio-temporal data mining emerged out of a need to create effective and efficient techniques in order to turn big spatiotemporal data into meaningful information and knowledge. This chapter reviews the state of the art in spatio-temporal data mining research and applications, from conventional statistical methods to machine learning approaches in the big data era, with emphasis placed on three key areas: prediction, clustering/classification, and visualization.