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Authors: Romel Vázquez-Rodríguez 1 ; Carlos Pérez-Risquet 1 ; Inti Y. Gonzalez-Herrera 1 ; Alexis Fajardo-Moya 1 and Juan Carlos Torres-Cantero 2

Affiliations: 1 Central University of Las Villas, Cuba ; 2 Granada University, Spain

ISBN: 978-989-8425-28-7

ISSN: 2184-3228

Keyword(s): Visual data mining, Scientific visualization, Information visualization, GIS.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; Visual Data Mining and Data Visualization

Abstract: The integration of scientific visualization (ScVis) techniques into geographic information systems (GIS) is an innovative alternative for the visual analysis of scientific data. Providing GIS with such tools improves the analysis and understanding of datasets with very low spatial density and allows to find correlations between variables in time and space. This paper presents a new visual data mining tool for the GIS gvSIG. This tool is implemented as a gvSIG module and contains several ScVis techniques for multiparameter data with a wide range of possibilities for interaction with the data. The developed module is a powerful visual data mining and data visualization tool to obtain knowledge from multiple datasets in time and space. A real case study with meteorological data from Villa Clara province (Cuba) is presented, where the implemented visualization techniques were used to analyze the available datasets. Although it is tested with meteorological data, the developed module is ge neral and can be used in multiple application fields. (More)

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Paper citation in several formats:
Vázquez-Rodríguez, R.; Pérez-Risquet, C.; Gonzalez-Herrera, I.; Fajardo-Moya, A. and Torres-Cantero, J. (2010). A NEW VISUAL DATA MINING TOOL FOR GVSIG GIS.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, ISSN 2184-3228, pages 428-431. DOI: 10.5220/0003089904280431

@conference{kdir10,
author={Romel Vázquez{-}Rodríguez. and Carlos Pérez{-}Risquet. and Inti Y. Gonzalez{-}Herrera. and Alexis Fajardo{-}Moya. and Juan Carlos Torres{-}Cantero.},
title={A NEW VISUAL DATA MINING TOOL FOR GVSIG GIS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={428-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003089904280431},
isbn={978-989-8425-28-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - A NEW VISUAL DATA MINING TOOL FOR GVSIG GIS
SN - 978-989-8425-28-7
AU - Vázquez-Rodríguez, R.
AU - Pérez-Risquet, C.
AU - Gonzalez-Herrera, I.
AU - Fajardo-Moya, A.
AU - Torres-Cantero, J.
PY - 2010
SP - 428
EP - 431
DO - 10.5220/0003089904280431

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