DocumentCode :
2991257
Title :
Pattern Recognition with Spatial Data Mining in Web: An Infrastructure to Engineering of the Urban Cadaster
Author :
De Moraes, André Fabiano ; Bastos, Lia Caetano
Author_Institution :
Dept. Inf. Technol., Inst. Fed. of Sci. Technol., Camboriu, Brazil
fYear :
2011
fDate :
3-4 Dec. 2011
Firstpage :
1331
Lastpage :
1335
Abstract :
In recent times are constant the problems of interoperability of data, mainly due to the constant emergence of different structures CAD/GIS (Computer Aided Design/Geographic Information Systems) produced by engineers, managers and other professionals through the fast development of collaborative technologies on the web. However, structures are also detected for manipulating objects that determine the cognitive domain of a problem, especially in the construction of urban or rural properties and land management. To this end, the study presents an investigation into the relevant aspects that influence in projects of engineering. It also investigates the demands for detecting predefined structures for agile actions and the exchange of experiences. Identifying factors critical to development and assisting in the recognition of integration structures. During the discussion are also presented the results extracted with the framework, providing web mapping applications through the implementation of collaborative strategies and combining the main techniques used in geographical data mining. Finally, the article discusses priority issues in the implementation of spatial data mining and the advancement of civil engineering technology for knowledge management.
Keywords :
CAD; Internet; data mining; geographic information systems; groupware; open systems; pattern recognition; CAD; GIS; Web mapping; World Wide Web; civil engineering; cognitive domain; collaborative strategyies; collaborative technologie; computer aided design; geographic information system; geographical data mining; interoperability; knowledge management; pattern recognition; spatial data mining; urban cadaster; Collaboration; Data mining; Geographic Information Systems; Mathematical model; Ontologies; Spatial databases; Standards; Collaboration; Free Software; Infrastructure; Interoperability; Spatial Data Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
Type :
conf
DOI :
10.1109/CIS.2011.296
Filename :
6128337
Link To Document :
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