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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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 Küçükçekmece in the coming years.

Original language	English
Title of host publication	5th International Conference on Computer Science and Engineering, UBMK 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	366-371
Number of pages	6
ISBN (Electronic)	9781728175652
DOIs	https://doi.org/10.1109/UBMK50275.2020.9219368
Publication status	Published - Sept 2020
Externally published	Yes
Event	5th International Conference on Computer Science and Engineering, UBMK 2020 - Diyarbakir, Turkey Duration: 9 Sept 2020 → 10 Sept 2020

Publication series

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

Conference

Conference	5th International Conference on Computer Science and Engineering, UBMK 2020
Country/Territory	Turkey
City	Diyarbakir
Period	9/09/20 → 10/09/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Data mining
IBB
Istanbul metropolitan
SVR
Waste generation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/UBMK50275.2020.9219368

Cite this

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

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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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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.

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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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this