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...

There are complex spatio-temporal relationships among cadastral entities. Cadastral spatio-temporal data model should not only describe the data structure of cadastral objects, but also express cadastral spatio-temporal relationships between cadastral objects. In the past, many experts and scholars have proposed a variety of cadastral spatio-temporal data models, but few of them concentrated on...

Many applications capture, or make use of, spatial data that changes over time. This requirement for effective and efficient spatio-temporal data management has given rise to a range of research activities relating to spatio-temporal data management. Such work has sought to understand, for example, the requirements of different categories of application, and the modelling facilities that are mo...

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...

It is widely accepted that the perception of human voices is supported by neural structures located along the superior temporal sulci. However, there is an ongoing discussion to what extent the activations found in fMRI studies are evoked by the vocal features themselves or are the result of phonetic processing. To show that the temporal lobes are indeed engaged in voice processing, short utter...

In many application areas there is a need to represent human-like knowledge related to spatio-temporal relations among multiple moving objects. This type of knowledge is usually imprecise, vague and fuzzy, while the reasoning about spatio-temporal relations is intuitive. In this paper we present a model of fuzzy spatio-temporal knowledge representation and reasoning based on high-level Petri ne...