POPELÍNSKÝ, Lubomír, Tomáš BUK and Petr KUBA. GRR: data mining in geographic information systems. Online. In Proceedings of ISIM'05. Hradec nad Moravicí: MARQ, 2005. p. 11-20. ISBN 8086840093. [citováno 2024-04-23]
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Basic information
Original name GRR: data mining in geographic information systems
Name in Czech GRR: Dolování v geografických informačních systémech
Authors POPELÍNSKÝ, Lubomír (203 Czech Republic, guarantor), Tomáš BUK (203 Czech Republic) and Petr KUBA (203 Czech Republic)
Edition Hradec nad Moravicí, Proceedings of ISIM'05, p. 11-20, 10 pp. 2005.
Publisher MARQ
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/05:00014241
Organization unit Faculty of Informatics
ISBN 8086840093
Keywords in English Data mining; geographic information system
Tags data mining, geographic information system
Changed by Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 27/6/2008 14:16.
Abstract
GRR, a system for mining in geographic information systems is introduced. GRR is composed of a graphical user interface, a module for communication with R system and for communication with the geographic information system GRASS. Tools for relational mining are as a part of GRR. Discovered knowledge can be expressed in PMML language and can be visualized with PMML visualizer. We present capabilities of GRR on mining raster data with two learning algorithms, decision tree classifier and first--order decision rules.
Abstract (in Czech)
GRR, a system for mining in geographic information systems is introduced. GRR is composed of a graphical user interface, a module for communication with R system and for communication with the geographic information system GRASS. Tools for relational mining are as a part of GRR. Discovered knowledge can be expressed in PMML language and can be visualized with PMML visualizer. We present capabilities of GRR on mining raster data with two learning algorithms, decision tree classifier and first--order decision rules.
Links
MSM0021622418, plan (intention)Name: DYNAMICKÁ GEOVIZUALIZACE V KRIZOVÉM MANAGEMENTU
Investor: Ministry of Education, Youth and Sports of the CR, Dynamic Geovisualisation in Crises Management
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