Spatial outlier detection: Data, algorithms, visualizations

Elke Achtert*, Ahmed Hettab, Hans Peter Kriegel, Erich Schubert, Arthur Zimek

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Abstrakt

Current Geographic/Geospatial Information Systems (GIS) and Data Mining Systems (DMS) so far are usually not designed to interoperate. GIS research has a strong emphasis on information management and retrieval, whereas DMS usually have too little geographic functionality to perform appropriate analysis. In this demonstration, we introduce an integrated GIS-DMS system for performing advanced data mining tasks such as outlier detection on geo-spatial data, but which also allows the interaction with existing GIS and this way allows a thorough evaluation of the results. The system enables convenient development of new algorithms as well as application of existing data mining algorithms to the spatial domain, bridging the gap between these two worlds.

OriginalsprogEngelsk
TitelAdvances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings
RedaktørerD. Pfoser
ForlagSpringer
Publikationsdato19. sep. 2011
Sider512-516
ISBN (Trykt)978-3-642-22922-0
ISBN (Elektronisk)978-3-642-22922-0
DOI
StatusUdgivet - 19. sep. 2011
Udgivet eksterntJa
Begivenhed12th International Symposium on Advances in Spatial and Temporal Databases - Minneapolis, USA
Varighed: 24. aug. 201126. aug. 2011

Konference

Konference12th International Symposium on Advances in Spatial and Temporal Databases
LandUSA
ByMinneapolis
Periode24/08/201126/08/2011
NavnLecture Notes in Computer Science
Vol/bind6849
ISSN0302-9743

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