Feature Engineering Techniques and Spatio-Temporal Data Processing

Abstract More and more applications nowadays use spatio-temporal data for different purposes. In order to be processed used efficiently, this unique type of requires special handling. This paper summarizes methods approaches feature selection machine learning algorithms engineering. Furthermore, it highlights relevant work in specific domains. The range possible processing is quite wide. However, these with the a meaningful practical way, individual steps need adapted. One most important