In this paper we propose a data model for representing moving objects in database systems. It is called the Moving Objects Spatio-Temporal (MOST) data model. We also propose Futur...
A. Prasad Sistla, Ouri Wolfson, Sam Chamberlain, S...
This paper presents a framework for data modeling ntic abstraction of image/video data. The framework is based on spatio-temporalinformation associated with salient objects in an ...
Young Francis Day, Serhan Dagtas, Mitsutoshi Iino,...
—Past research on temporal databases has primarily focused on state-based representations and on relational query language extensions for such representations. This led to many d...
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggrega...
Ali Frihida, Danielle J. Marceau, Marius Thé...