Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression
Yükleniyor...
Dosyalar
Tarih
2020-10-12
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Waste planning is essential for large and developing cities such as Istanbul. In this report, we perform data analysis on "Waste Amount Based on District, Year and Waste Type"dataset shared by Istanbul Metropolitan Municipality. After analyzing the waste of the districts, we used support vector regression (SVR) to forecast the waste amounts for the coming years. The analysis has shown an overall increasing trend in the waste generation, although it dropped in 2019. The SVR predicts that the most waste generating district will be Küçükçekmece in the coming years.
Açıklama
Anahtar Kelimeler
Waste generation, Solid waste management, Cardboard, Data mining, IBB, Istanbul metropolitan, SVR, Computer science, Computers, Engineering, Industrial engineering, Developing cities, Domestic solid wastes, Istanbul, Metropolitan municipalities, Support vector regression (SVR), Support vector regression, Hafnium compounds, Global positioning system, Optical fibers, Data analysis, Support vector machines, Planning, Environmental science computing, Municipal solid waste, Regression analysis, Waste handling, Waste amounts, Waste planning, Istanbul metropolitan municipality, Domestic solid waste generation, Waste generating district, IBA Istanbul metropolitan
Kaynak
2020 5th International Conference on Computer Science and Engineering (UBMK)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Özçelik, Ş. T. & Tek, F. B. (2020). Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression. Paper presented at the 2020 5th International Conference on Computer Science and Engineering (UBMK), 366-371. doi:10.1109/UBMK50275.2020.9219368
