hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.17559/TV-20160913205831

Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro

Savo Tomović   ORCID icon orcid.org/0000-0002-9388-7784 ; University of Montenegro, Džordža Vašingtona bb, 81000 Podgorica, Montenegro
Predrag Stanišić ; University of Montenegro, Džordža Vašingtona bb, 81000 Podgorica, Montenegro
Srdjan Kadić ; University of Montenegro, Džordža Vašingtona bb, 81000 Podgorica, Montenegro

Puni tekst: engleski, pdf (1 MB) str. 1037-1043 preuzimanja: 254* citiraj
APA 6th Edition
Tomović, S., Stanišić, P. i Kadić, S. (2018). Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro. Tehnički vjesnik, 25 (4), 1037-1043. https://doi.org/10.17559/TV-20160913205831
MLA 8th Edition
Tomović, Savo, et al. "Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro." Tehnički vjesnik, vol. 25, br. 4, 2018, str. 1037-1043. https://doi.org/10.17559/TV-20160913205831. Citirano 20.11.2019.
Chicago 17th Edition
Tomović, Savo, Predrag Stanišić i Srdjan Kadić. "Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro." Tehnički vjesnik 25, br. 4 (2018): 1037-1043. https://doi.org/10.17559/TV-20160913205831
Harvard
Tomović, S., Stanišić, P., i Kadić, S. (2018). 'Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro', Tehnički vjesnik, 25(4), str. 1037-1043. https://doi.org/10.17559/TV-20160913205831
Vancouver
Tomović S, Stanišić P, Kadić S. Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro. Tehnički vjesnik [Internet]. 2018 [pristupljeno 20.11.2019.];25(4):1037-1043. https://doi.org/10.17559/TV-20160913205831
IEEE
S. Tomović, P. Stanišić i S. Kadić, "Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro", Tehnički vjesnik, vol.25, br. 4, str. 1037-1043, 2018. [Online]. https://doi.org/10.17559/TV-20160913205831

Sažetak
In this study, we present results of applying data mining techniques on meteorological dataset obtained from the Institute of Hydrometeorology and Seismology of Montenegro. The dataset covers the measurements taken from all 11 main meteorological stations in Montenegro for the period 2010-2015. We build new climate classification system based on decision tree. The system is simpler (i.e. uses fewer attributes) and more accurate than the well-known Köppen climate classification system. In addition, we propose a novel procedure for climate network construction. Finally, we identify the regions within the same climate type in Montenegro’s climate network with the Girvan-Newman algorithm for community detection and achieve better results with respect to classical K-means and hierarchical clustering algorithms.

Ključne riječi
clustering; climate networks; Koppen climate classification system; mining meteorological data

Hrčak ID: 204450

URI
https://hrcak.srce.hr/204450

Posjeta: 436 *