Authors:
Everton Luiz de Almeida Gago Júnior
;
Gean Davis Breda
;
Eduardo Zanoni Marques
and
Leonardo de Souza Mendes
Affiliation:
University of Campinas, Brazil
Keyword(s):
Self-organizing Maps, Data Mining, e-Gov.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Data Mining
;
Databases and Datawarehouses
;
Databases and Information Systems Integration
;
e-Business
;
Enterprise Information Systems
;
Government
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Internet Technology
;
Knowledge Management
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Symbolic Systems
;
Web Information Systems and Technologies
Abstract:
With the facilitations and results offered by automated management systems, more and more municipalities seek to eliminate physical documents by digitally storing their information. One of the direct consequences of that is the generation of a large volume of data. This paper proposes a model to support decision making based on self-organized maps. Applied to electronic government tools, this model can help identify unknown data patterns guiding the decision making process. For the accomplishment of the case study, available information from the city of Campinas, São Paulo, Brazil has been provided.