Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/1709
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Özgür Özlük | - |
dc.contributor.author | Çolak, Mehtap | - |
dc.date.accessioned | 2021-12-14T11:21:14Z | |
dc.date.available | 2021-12-14T11:21:14Z | |
dc.date.issued | 2021 | - |
dc.identifier.citation | Çolak, M. (2021). Forecasting Organic Traffic with Different Source of Data. MEF Üniversitesi Fen Bilimleri Enstitüsü, Büyük Veri Analitiği Yüksek Lisans Programı. ss. 1-22 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11779/1709 | - |
dc.description.abstract | In this project, the results are compared using different data sets for the organic traffic forecasting of a website. Two different models were developed based on the data obtained from Google Search Console (GSC), Google Analytics (GA), Ahrefs and Google Trends and trained with XGBoost and Random Forest machine learning algorithms. Although the .. value and accuracy rate of the first model developed on the GSC, GA and Ahrefs data obtained between 2019-2020 was high; it is not suitable for predictive analysis because the data sets consist of dependent variables. The second model was developed with Google Trends data for brand and non-brand queries with the highest Impression value. The future trends of the relevant queries were predicted using the Prophet algorithm. Through this model, Impression values of the relevant website were estimated for the remainder of 2021. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MEF Üniversitesi Fen Bilimleri Enstitüsü | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Organic Traffic, Organic Traffic Forecasting, Predicting Website Traffic, Time Series Analysis, Google Search Console, Google Analytics, Google Trends, Random Forecast Regressor | en_US |
dc.title | Forecasting organic traffic with different source of data | en_US |
dc.title.alternative | Farklı veri kaynakları ile organik trafik tahmini | en_US |
dc.type | Master's Degree Project | en_US |
dc.relation.publicationcategory | YL-Bitirme Projesi | en_US |
dc.identifier.startpage | 1-22 | en_US |
dc.department | Büyük Veri Analitiği Yüksek Lisans Programı | en_US |
dc.institutionauthor | Çolak, Mehtap | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.openairetype | Master's Degree Project | - |
Appears in Collections: | FBE, Yüksek Lisans, Proje Koleksiyonu |
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