Spatio-temporal association rules mining is a key technology and a hot issue in the field of spatio-temporal data mining. The classical Apriori algorithm is usually utilized to detect the spatio-temporal association rules from the spatio-temporal transaction table, which is derived from the original spatio-temporal data. In most existing approaches to generate the spatio-temporal transaction ta...

Topological relationships between spatio-temporal objects are the most fundamental elements in spatio-temporal database systems, GIS, and image database systems. The research issue of modeling topological relationships has increasingly attracted attention, especially for querying of spatio-temporal objects and reasoning of topological relationships. Currently, topological relationship operating...

Recently, a fast increment of spatio-temporal data volume has been achieved and more importantly the data might distribute everywhere. So, there is a need for spatio-temporal data mining systems that are able to support such distributed spatio-temporal query and analysis operations. Distributed spatiotemporal data mining technologies were discussed in this paper. After discussing the process of...

This paper presents ST-Hadoop; the first full-fledged opensource MapReduce framework with a native support for spatio-temporal data. ST-Hadoop is a comprehensive extension to Hadoop and SpatialHadoop that injects spatio-temporal data awareness inside each of their layers, mainly, language, indexing, and operations layers. In the language layer, ST-Hadoop provides built in spatio-temporal data t...

While there are many proposals for spatio-temporal data models and query languages, there is a lack of research into application development using spatio-temporal database systems. This paper seeks to redress the balance by exploring how to support database programming for spatio-temporal object databases, with specific reference to the Tripod spatio-temporal OODBMS.

Recent advances in communication and information technology, such as the increasing accuracy of GPS technology and the miniaturization of wireless communication devices pave the road for Location– Based Services (LBS). To achieve high quality for such services, spatio– temporal data mining techniques are needed. In this paper, we describe experiences with spatio–temporal rule mining in a Danish...

Large-scale spatio-temporal data is crucial for testing the spatio-temporal pattern mining algorithms. In this paper we present a data set generator that can generate moving spatio-temporal instances, with evolving regions. The characteristics of data generated can be configured with parameters given to program and those parameters allow users to test the performance of spatio-temporal mining a...