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Advisor(s)
Abstract(s)
This paper introduces online data mining services for dynamic spatial databases
associated with environmental monitoring networks. In particular, it describes an
application that uses these services with sonification for air quality location based
information services to the general public.
The data mining services use Artificial Neural Networks, to find temporal relations
in the monitored parameters. The execution of the algorithms performed at the
server side and a distributed processing scheme is used to overcome problems of
scalability.
In addition, two other families of web services are made available to support the
discovery of temporal relations: vectorial and raster map? services and a
sonification service. The map services were implemented in DM Plus, a client
application presented in part I. The sonification service is described in this paper
and illustrated through an application study that implements an air quality index
with sonification for mobile phones.
Description
Keywords
Online data mining services Location based services Sonification Artificial neural networks Dynamic spatial databases Air quality monitoring networks
Pedagogical Context
Citation
II INTERNATIONAL CONFERENCE AND EXHIBITION ON GEOGRAPHICAL INFORMATION, Estoril Congress Center, Estoril, Lisboa, Portugal, 30 May-2 June, 2005 - GISPlanet Proceedings, II International Conference and Exhibition on Geographic Information, [CD-ROM] ISBN 972-97367-5-8