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Identifikacija profilov istih oseb na različnih socialnih omrežjih
ID KERIN, PRIMOŽ (Author), ID Bajec, Marko (Mentor) More about this mentor... This link opens in a new window

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MD5: D716341A4DD711B3AD5E8C09895156D4
PID: 20.500.12556/rul/d8a45c81-686c-4d1e-b54d-61d6e82b4989

Abstract
V diplomskem delu sem kombiniral več različnih tehnik za prepoznavo podvojenih oseb, kot so metode, ki temeljijo na pravilih določanja podobnih oseb, klasifikacija parov, sestavljanje gruč in strojnega učenja. Duplicirane osebe sem dodatno prepoznaval s primerjavo profilnih fotografij, saj je njihov vizualni učinek tudi pri človeški prepoznavi v veliko pomoč. Čeprav so podvojeni zapisi shranjeni v eni podatkovni bazi, sem vseeno uporabil tehnike, ki se drugače izkoriščajo tudi za uparjanje več baz z enakimi entitetami. Na koncu sem ocenil časovno zahtevnost in pravilnost deduplikacije.

Language:Slovenian
Keywords:duplikati, socialno omrežje, spajanje, čiščenje podatkov
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2016
PID:20.500.12556/RUL-81108 This link opens in a new window
Publication date in RUL:29.03.2016
Views:1801
Downloads:303
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Secondary language

Language:English
Title:Identification of profiles belonging to same people at different social networks
Abstract:
In my thesis I combined multiple duplicate person recognition techniques like rule-based methods to determine similar persons, pair classification, cluster building and machine learning. Extra comparison of profile pictures was used for recognizing person duplicates, because this comparison is the one of the first things that humans use when comparing profiles. I also used techniques for entity resolution on multiple databases. In the end I measured time complexity and success of the deduplication.

Keywords:deduplication, social network, merge, data cleaning, record linkage

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