Pregled bibliografske jedinice broj: 973014
SNA-based artificial call detail records generator
SNA-based artificial call detail records generator // Proceedings of 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Skala, Karolj ; Koričić, Marko ; Galinac Grbac, Tihana ; Čičin-Šain, Marina ; Sruk, Vlado ; Ribarić, Slobodan ; Groš, Stjepan ; Vrdoljak, Boris ; Mauher, Mladen ; Tijan, Edvard ; Pale, Predrag ; Janjić, Matej (ur.).
Opatija: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018. str. 1226-1230 doi:10.23919/MIPRO.2018.8400222 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 973014 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
SNA-based artificial call detail records generator
Autori
Murtić, Alen ; Maljić, Matija ; Gruičić, Stribor-Ladislav ; Pintar, Damir ; Vranić, Mihaela
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
/ Skala, Karolj ; Koričić, Marko ; Galinac Grbac, Tihana ; Čičin-Šain, Marina ; Sruk, Vlado ; Ribarić, Slobodan ; Groš, Stjepan ; Vrdoljak, Boris ; Mauher, Mladen ; Tijan, Edvard ; Pale, Predrag ; Janjić, Matej - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018, 1226-1230
ISBN
978-953-233-097-7
Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018)
Mjesto i datum
Opatija, Hrvatska, 21.05.2018. - 25.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Big Data ; CDR ; social network ; SNA ; synthetic data ; exploratory analysis
Sažetak
Research involving Big Data often has to deal with the problem of data availability. Real-life data involving people and their activities is usually tied with various issues of privacy, security and secrecy, which results in difficult barriers which need to be overcome before the research can even start. In this paper we suggest an approach which can reliably provide researchers with an arbitrary amount of synthetic Call Detail Records (CDR) data which would exhibit a high level of similarity with a corresponding real-life dataset. We base our approach on a simulator whose functionality is derived on results of an exploratory analysis performed on a real-life dataset which represents a social network of users with records of their activities. In this paper we concentrate on generating CDR data used in telecommunications industry, although the approach is applicable in the other domains too.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus