Forecasting and Analysis of Domestic Solid Waste Generation in Districts of Istanbul with Support Vector Regression

被引：0

作者：

Ozcelik, Suayb Talha ^{[1
]}

Tek, Faik Boray ^{[1
]}

机构：

[1] Isik Univ, Dept Comp Engn, Istanbul, Turkey

来源：

2020 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK) | 2020年

关键词：

Data mining; IBA Istanbul metropolitan; SVR; Waste generation; MUNICIPAL; MODEL;

D O I：

10.1109/ubmk50275.2020.9219368

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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 Kucukcekmece in the coming years.

引用

页码：366 / 371

页数：6

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