Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/1142Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Özgür Özlük | - |
| dc.contributor.author | Malkaralı, Gülce | - |
| dc.date.accessioned | 2019-11-15T13:04:26Z | |
| dc.date.available | 2019-11-15T13:04:26Z | |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Malkaralı, G. (2017). Predicting facebook ad impressions & CPM+C79:D89 values, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.11779/1142 | - |
| dc.description.abstract | The study presents a rule based algorithm to detect dublicate and near-dublicate rocords within a dataset that is extracted from a leading online reality platform. | 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.title | Duplicate record detection: A rule-based approach | en_US |
| dc.title.alternative | Mükerrer ilan tespiti: kurala dayalı bir yaklaşım | en_US |
| dc.type | Master's Degree Project | en_US |
| dc.relation.publicationcategory | YL-Bitirme Projesi | en_US |
| dc.department | Büyük Veri Analitiği Yüksek Lisans Programı | en_US |
| dc.institutionauthor | Malkaralı, Gülce | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.grantfulltext | open | - |
| item.languageiso639-1 | en | - |
| item.cerifentitytype | Publications | - |
| item.fulltext | With Fulltext | - |
| item.openairetype | Master's Degree Project | - |
| Appears in Collections: | FBE, Yüksek Lisans, Proje Koleksiyonu | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| GülceMalkaralı.pdf | YL-Proje Dosyası | 7.76 MB | Adobe PDF |  View/Open |
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