Özçelik, Şuayb TalhaTek, Faik Boray2020-11-272020-11-272020-10-12Özçelik, 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/UBMK50275.2020.9219368978172817565297817281756459781728175669https://hdl.handle.net/11729/2975http://dx.doi.org/10.1109/UBMK50275.2020.9219368Waste 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.eninfo:eu-repo/semantics/closedAccessWaste generationSolid waste managementCardboardData miningIBBIstanbul metropolitanSVRComputer scienceComputersEngineeringIndustrial engineeringDeveloping citiesDomestic solid wastesIstanbulMetropolitan municipalitiesSupport vector regression (SVR)Support vector regressionHafnium compoundsGlobal positioning systemOptical fibersData analysisSupport vector machinesPlanningEnvironmental science computingMunicipal solid wasteRegression analysisWaste handlingWaste amountsWaste planningIstanbul metropolitan municipalityDomestic solid waste generationWaste generating districtIBA Istanbul metropolitanConference Object366371N/AWOS:0006290555000712-s2.0-8509570973810.1109/UBMK50275.2020.9219368N/A