Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression

Suayb Talha Ozclik; Faik Boray Tek

doi:10.1109/UBMK50275.2020.9219368

Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression

Suayb Talha Ozclik, Faik Boray Tek

Isik University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	5th International Conference on Computer Science and Engineering, UBMK 2020
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	366-371
Sayfa sayısı	6
ISBN (Elektronik)	9781728175652
DOI'lar	https://doi.org/10.1109/UBMK50275.2020.9219368
Yayın durumu	Yayınlandı - Eyl 2020
Harici olarak yayınlandı	Evet
Etkinlik	5th International Conference on Computer Science and Engineering, UBMK 2020 - Diyarbakir, Turkey Süre: 9 Eyl 2020 → 10 Eyl 2020

Yayın serisi

Adı	5th International Conference on Computer Science and Engineering, UBMK 2020

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	5th International Conference on Computer Science and Engineering, UBMK 2020
Ülke/Bölge	Turkey
Şehir	Diyarbakir
Periyot	9/09/20 → 10/09/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1109/UBMK50275.2020.9219368

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ozclik, S. T., & Boray Tek, F. (2020). Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression. In 5th International Conference on Computer Science and Engineering, UBMK 2020 (pp. 366-371). Makale 9219368 (5th International Conference on Computer Science and Engineering, UBMK 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK50275.2020.9219368

Ozclik, Suayb Talha ; Boray Tek, Faik. / Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression. 5th International Conference on Computer Science and Engineering, UBMK 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 366-371 (5th International Conference on Computer Science and Engineering, UBMK 2020).

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title = "Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression",

abstract = "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 K{\"u}{\c c}{\"u}k{\c c}ekmece in the coming years.",

keywords = "Data mining, IBB, Istanbul metropolitan, SVR, Waste generation",

author = "Ozclik, {Suayb Talha} and {Boray Tek}, Faik",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 5th International Conference on Computer Science and Engineering, UBMK 2020 ; Conference date: 09-09-2020 Through 10-09-2020",

year = "2020",

month = sep,

doi = "10.1109/UBMK50275.2020.9219368",

language = "English",

series = "5th International Conference on Computer Science and Engineering, UBMK 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Ozclik, ST & Boray Tek, F 2020, Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression. in 5th International Conference on Computer Science and Engineering, UBMK 2020., 9219368, 5th International Conference on Computer Science and Engineering, UBMK 2020, Institute of Electrical and Electronics Engineers Inc., pp. 366-371, 5th International Conference on Computer Science and Engineering, UBMK 2020, Diyarbakir, Turkey, 9/09/20. https://doi.org/10.1109/UBMK50275.2020.9219368

Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression. / Ozclik, Suayb Talha; Boray Tek, Faik.
5th International Conference on Computer Science and Engineering, UBMK 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 366-371 9219368 (5th International Conference on Computer Science and Engineering, UBMK 2020).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression

AU - Ozclik, Suayb Talha

AU - Boray Tek, Faik

PY - 2020/9

Y1 - 2020/9

N2 - 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.

AB - 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.

KW - Data mining

KW - IBB

KW - Istanbul metropolitan

KW - SVR

KW - Waste generation

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U2 - 10.1109/UBMK50275.2020.9219368

DO - 10.1109/UBMK50275.2020.9219368

M3 - Conference contribution

AN - SCOPUS:85095709738

T3 - 5th International Conference on Computer Science and Engineering, UBMK 2020

SP - 366

EP - 371

BT - 5th International Conference on Computer Science and Engineering, UBMK 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Computer Science and Engineering, UBMK 2020

Y2 - 9 September 2020 through 10 September 2020

ER -

Ozclik ST, Boray Tek F. Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression. In 5th International Conference on Computer Science and Engineering, UBMK 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 366-371. 9219368. (5th International Conference on Computer Science and Engineering, UBMK 2020). doi: 10.1109/UBMK50275.2020.9219368

Forecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regression

Özet

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Bibliyografik not

BM SKH

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