Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro
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 b...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2018-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/300928 |
| _version_ | 1797207609451741184 |
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| author | Savo Tomović Predrag Stanišić Srdjan Kadić |
| author_facet | Savo Tomović Predrag Stanišić Srdjan Kadić |
| author_sort | Savo Tomović |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:25:38Z |
| format | Article |
| id | doaj.art-5d2cba11682743cf80ba625ed2b73b92 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:25:38Z |
| publishDate | 2018-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-5d2cba11682743cf80ba625ed2b73b922024-04-15T14:57:02ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392018-01-012541037104310.17559/TV-20160913205831Data Mining Approach in Climate Classification and Climate Network Construction – Case Study MontenegroSavo Tomović0Predrag Stanišić1Srdjan Kadić2University of Montenegro, Džordža Vašingtona bb, 81000 Podgorica, MontenegroUniversity of Montenegro, Džordža Vašingtona bb, 81000 Podgorica, MontenegroUniversity of Montenegro, Džordža Vašingtona bb, 81000 Podgorica, MontenegroIn 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.https://hrcak.srce.hr/file/300928clusteringclimate networksKoppen climate classification systemmining meteorological data |
| spellingShingle | Savo Tomović Predrag Stanišić Srdjan Kadić Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro Tehnički Vjesnik clustering climate networks Koppen climate classification system mining meteorological data |
| title | Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro |
| title_full | Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro |
| title_fullStr | Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro |
| title_full_unstemmed | Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro |
| title_short | Data Mining Approach in Climate Classification and Climate Network Construction – Case Study Montenegro |
| title_sort | data mining approach in climate classification and climate network construction case study montenegro |
| topic | clustering climate networks Koppen climate classification system mining meteorological data |
| url | https://hrcak.srce.hr/file/300928 |
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