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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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