Spatial outlier detection: Data, algorithms, visualizations

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Spatial and Temporal Databases - 12th International Symposium, SSTD 2011, Proceedings
EditorsD. Pfoser
PublisherSpringer
Publication date19. Sep 2011
Pages512-516
ISBN (Print)978-3-642-22922-0
ISBN (Electronic)978-3-642-22922-0
DOIs
Publication statusPublished - 19. Sep 2011
Externally publishedYes
Event12th International Symposium on Advances in Spatial and Temporal Databases - Minneapolis, United States
Duration: 24. Aug 201126. Aug 2011

Conference

Conference12th International Symposium on Advances in Spatial and Temporal Databases
Country/TerritoryUnited States
CityMinneapolis
Period24/08/201126/08/2011
SeriesLecture Notes in Computer Science
Volume6849
ISSN0302-9743

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