Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7877
Title: Filtering frequent geographic patterns with qualitative spatial reasoning.
Authors: BOGORNY, Vania 
MOELANS, Bart 
ALVARES, Luis Otavio 
Issue Date: 2007
Publisher: IEEE Computer Society
Source: 2007 IEEE 23RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP: vol. 1-2. p. 527-535.
Abstract: In frequent geographic pattern mining a large amount of patterns can be non-novel and non-interesting. This problem has been addressed recently, and background knowledge is used to reduce well known geographic patterns. However, a large amount of meaningless patterns which is independent of domain knowledge is still extracted from geographic data. Therefore, this paper proposes a method for filtering specific types of meaningless spatial patterns using qualitative spatial reasoning. We proof a significant reduction of the number of frequent patterns, which is also shown with experiments performed on real data. These experiments even show a reduction in computational time.
Document URI: http://hdl.handle.net/1942/7877
ISBN: 978-1-4244-0832-0
DOI: 10.1109/ICDEW.2007.4401038
ISI #: 000254288100066
Category: C1
Type: Proceedings Paper
Validations: ecoom 2009
Appears in Collections:Research publications

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