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

dc.contributor.authorÖzçelik, Şuayb Talhaen_US
dc.contributor.authorTek, Faik Borayen_US
dc.date.accessioned2020-11-27T12:30:26Z
dc.date.available2020-11-27T12:30:26Z
dc.date.issued2020-10-12
dc.identifier.citationÖzçelik, 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/UBMK50275.2020.9219368en_US
dc.identifier.isbn9781728175652
dc.identifier.isbn9781728175645
dc.identifier.isbn9781728175669
dc.identifier.urihttps://hdl.handle.net/11729/2975
dc.identifier.urihttp://dx.doi.org/10.1109/UBMK50275.2020.9219368
dc.description.abstractWaste 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.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionof10.1109/UBMK50275.2020.9219368
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWaste generationen_US
dc.subjectSolid waste managementen_US
dc.subjectCardboarden_US
dc.subjectData miningen_US
dc.subjectIBBen_US
dc.subjectIstanbul metropolitanen_US
dc.subjectSVRen_US
dc.subjectComputer scienceen_US
dc.subjectComputersen_US
dc.subjectEngineeringen_US
dc.subjectIndustrial engineeringen_US
dc.subjectDeveloping citiesen_US
dc.subjectDomestic solid wastesen_US
dc.subjectIstanbulen_US
dc.subjectMetropolitan municipalitiesen_US
dc.subjectSupport vector regression (SVR)en_US
dc.subjectSupport vector regressionen_US
dc.subjectHafnium compoundsen_US
dc.subjectGlobal positioning systemen_US
dc.subjectOptical fibersen_US
dc.subjectData analysisen_US
dc.subjectSupport vector machinesen_US
dc.subjectPlanningen_US
dc.subjectEnvironmental science computingen_US
dc.subjectMunicipal solid wasteen_US
dc.subjectRegression analysisen_US
dc.subjectWaste handlingen_US
dc.subjectWaste amountsen_US
dc.subjectWaste planningen_US
dc.subjectIstanbul metropolitan municipalityen_US
dc.subjectDomestic solid waste generationen_US
dc.subjectWaste generating districten_US
dc.subjectIBA Istanbul metropolitanen_US
dc.titleForecasting and analysis of domestic solid waste generation in districts of istanbul with support vector regressionen_US
dc.typeconferenceObjecten_US
dc.relation.journal2020 5th International Conference on Computer Science and Engineering (UBMK)en_US
dc.contributor.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.contributor.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.contributor.authorID0000-0002-8649-6013
dc.contributor.authorID0000-0003-3903-7356
dc.identifier.startpage366
dc.identifier.endpage371
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorÖzçelik, Şuayb Talhaen_US
dc.contributor.institutionauthorTek, Faik Borayen_US
dc.relation.indexWOSen_US
dc.relation.indexScopusen_US
dc.relation.indexConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.description.wosidWOS:000629055500071


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