Duplicate Record Detection: a Rule-Based Approach

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1142

Full 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.fulltext	With Fulltext	-
item.languageiso639-1	en	-
item.grantfulltext	open	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.openairetype	Master's Degree Project	-
item.cerifentitytype	Publications	-
Appears in Collections:	FBE, Yüksek Lisans, Proje Koleksiyonu