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|Title:||Filtering frequent geographic patterns with qualitative spatial reasoning.||Authors:||BOGORNY, Vania
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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