In order to eliminate data redundancy of spatiotemporal database, and flexibly create spatiotemporal association patterns, and fast discover spatiotemporal association rules, firstly, this paper adopts event-coverage to create spatiotemporal mining database; the method can divide the spatiotemporal domain into some spatiotemporal transaction cells, where each cell is made of attribute values an...

Concentration is one of the most important factor in determining the efficiency of learning. There has not been, however, much systematic research on controlling the level of concentration. We therefore examined the effect of an external factor, namely playing music, on the performance on a task that requires much attention. We compared three conditions: music that the subject likes, music that...

Among other operations, a spatiotemporal DBMS should efficiently answer the spatiotemporal join. This paper presents an evaluation of spatiotemporal join algorithms using these new structures, particularly a partially persistent R-Tree called Temporal R-Tree and the 2+3D R-Tree. Starting from spatial join algorithms, we present algorithms for processing spatiotemporal joins over time instants a...

A method of control of spatiotemporal chaos in lattices of coupled maps is proposed in this work. Forms of spatiotemporal perturbations of a system parameter are analytically determined for oneand twodimensional logistic map lattices with different kinds of coupling to stabilize chosen spatiotemporal states previously unstable. The results are illustrated by numerical simulation. Controlled tra...

Many data objects in the real world have attributes about location and time. Such spatiotemporal objects can be found in applications such Geographic Information Systems (GIS), environmental data management and multimedia databases. Traditional relational database technology is not suitable for managing spatiotemporal data, which are multi-dimensional with complex structures and behaviors. Spat...

Existing spatiotemporal data models and query languages offer only basic support to query changes of data. In particular, although these systems often allow the formulation of queries that ask for changes at particular time points, they fall short of expressing queries for sequences of such changes. In this chapter we propose the concept of spatiotemporal patterns as a systematic and scalable c...

With the explosive increase in the generation and utilization of spatiotemporal data sets, many research efforts have been focused on the efficient handling of the large volume of spatiotemporal sets. With the remarkable growth of ubiquitous computing technology, mining from the huge volume of spatiotemporal data sets is regarded as a core technology which can provide real world applications wi...

Although intensive works have been devoted to spatiotemporal modeling during the last two decades, there are only a few models dedicated to relationships between two (or more) moving objects. This paper proposes a classification framework of spatiotemporal relationship models based on the ways spatiotemporal histories are analyzed. First, we discuss model conditions of application. Then we prop...

Many data objects in the real world have attributes about location and time. Such spatiotemporal objects can be found in applications such as Geographic Information Systems (CIS), environmental data management and multimedia databases. Traditional relational database technology is not suitable for managing spatiotemporal data, which are multi-dimensional with complex structures and behaviours. ...

When the information created online by users has a spatial reference, it is known as Volunteered Geographic Information (VGI). The increased availability of spatiotemporal data collected from satellite imagery and other remote sensors provides opportunities for enhanced analysis of Spatiotemporal Patterns. This area can be defined as efficiently discovering interesting patterns from large data ...