Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
Donato Malerba, Annalisa Appice, Antonio Varlaro, ...
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
This paper analyses reported difficulties in spatial data retrieval from Internet portals, based on results from an empirical survey. The analysis reveals the problems which cause ...
Supporting groups of individuals exploring large maps and design diagrams on interactive tabletops is still an open research problem. Today’s geospatial, mechanical engineering ...
Decision support systems (DSS) may be enhanced qualitatively if they are able to also deal with spatial dimensions and measures. Regardless the evident importance of using data wa...
Marcus Costa Sampaio, Andre Gomes de Sousa, Cl&aac...
Database management systems (DBMS) have significantly changed in the last several years. From a system dealing with management of administrative data they have involved to a spati...
The convergence of cellular and IP technologies has pushed the integration of 3G and WLAN networks to the forefront. Gaining secure access to 3G services from 802.11 WLANs is a pr...
Abstract. A fundamental data modeling problem in geographical information systems and spatial database systems refers to an appropriate treatment of the vagueness or indeterminacy ...
Abstract. Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning society functioning. One task in SDM is the discovery of characterization an...
Ensuring the semantic and topological correctness of spatial data is an important requirement in geographical information systems and spatial database systems in order to preserve ...
Mark McKenney, Alejandro Pauly, Reasey Praing, Mar...