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 | |
| 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.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Data mining
- IBB
- Istanbul metropolitan
- SVR
- Waste generation
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