Spatiotemporal event sequence mining from evolving regions

Abstract

In this paper, we introduce methods for mining spatiotemporal event sequences from event datasets with evolving region objects. Spatiotemporal event sequences are the ordered lists of event types whose event instances frequently follow each other in spatiotemporal context. Two Apriori-based algorithms are designed for the task of spatiotemporal event sequence mining. We provide explanations for interestingness measures we employed. We present extended experimental results that demonstrate the computational efficiency of our methods.