Spatio-temporal pattern and trend extraction on Turkish meteorological data

Date

2012-12-01

Author

Goler, Isil
Karagöz, Pınar
Yazıcı, Adnan

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Due to increasing amount of spatio-temporal data collected from various applications, spatio-temporal data mining has become a demanding and challenging research field requiring development of novel algorithms and techniques for successful analysis of large spatio-temporal databases. In this study, we propose a spatio-temporal mining technique and apply it on meteorological data, which has been collected from various weather stations in Turkey. In addition, we introduce one more mining level on the extracted patterns in order to discover general trends with respect to spatial changes. Generated patterns are investigated under different temporal ranges, in order to monitor the change of the events with respect to temporal changes. © 2012 Springer-Verlag London Limited.

Subject Keywords

Spatio-temporal data, Spatio-temporal data mining, Trend extraction

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84887837069&origin=inward
https://hdl.handle.net/11511/96895

DOI

https://doi.org/10.1007/978-1-4471-2155-8-64

Conference Name

26th Annual International Symposium on Computer and Information Science, ISCIS 2011

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

I. Goler, P. Karagöz, and A. Yazıcı, “Spatio-temporal pattern and trend extraction on Turkish meteorological data,” presented at the 26th Annual International Symposium on Computer and Information Science, ISCIS 2011, London, İngiltere, 2012, Accessed: 00, 2022. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84887837069&origin=inward.