In this paper we propose a methodology for mining very large spatio-temporal datasets. We propose a two-pass strategy for mining and manipulating spatio-temporal datasets at different levels of detail (i.e., granularities). The approach takes advantage of the multi-granular capability of the underlying spatio-temporal model to reduce the amount of data that can be accessed initially. The approa...

Excitable dynamics of a neuron generates dynamical phenomena with various attractors, which include deterministic chaos and multistability [1, 2]. A neural network composed of neurons with such excitable dynamics also produces much more interesting and richer nonlinear dynamics with spatio– temporal structure of spikes [3, 4]. In this talk, I consider nonlinear dynamics with spatio–temporal spi...

s of Talks ______________________________________________________________ 7 What are spatioTemporal Databases ___________________________________________________8 CHOROCHRONOS: A Research Network for Spatio-temporal Database Systems (TMR Programme) ______8 Requirements of Traffic Telematics to Spatial and Temporal Databases _______________________________9 Ontology-Based Map Integration _______...

Spatio-temporal networks are becoming popular with the rise of traffic information being incorporated into street mapping utilities such as Google Maps. This additional information adds potentially large time series of traffic information to each road segment. Naive implementations of secondary storage of spatio-temporal networks may not be sufficient, as current techniques commonly store entir...

Autoassociations of spatio-temporal sequences have been discussed by a number of authors. We propose a mechanism for storing and retrieving pairs of spatio-temporal sequences with the network architecture of the standard bidirectional associative memory (BAM), thereby achieving hetero-associations of spatio-temporal sequences.

abstract in general, garmesh wind in rasht province increases the temperature by 9°c and reduces relative humidity by 47%. the direction of prevailing wind during the garmesh wind is southern and its average speed increases by 2 m/s to 5 m/s. the highest frequency of garmesh wind occurs at 09 and 12 utc in december and january. the occurrence of this phenomenon substantially increases the horiz...

An analytical mechanism that support localized spatio-temporal chaos is provided. We consider a simple model-the Nagumo Kuramoto model-which contains the crucial ingredients for observing localized spatio-temporal chaos, namely, the spatio-temporal chaotic pattern and its coexistence with a uniform state. This model allows us to unveil the front dynamics and to show that it can be described by ...

We address a fundamental question concerning spatio-temporal database systems: “What are exactly spatio-temporal queries?” We define spatio-temporal queries to be computable mappings that are also generic, meaning that the result of a query may only depend to a limited extent on the actual internal representation of the spatio-temporal data. Genericity is defined as invariance under groups of g...

We address a fundamental question concerning spatio-temporal database systems: “What are exactly spatio-temporal queries?” We define spatio-temporal queries to be computable mappings that are also generic, meaning that the result of a query may only depend to a limited extent on the actual internal representation of the spatio-temporal data. Genericity is defined as invariance under groups of g...