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Title:Analiza socialnega omrežja na podlagi zapisov podatkov o klicih
Authors:ID Kozel, Rok (Author)
ID Gleich, Dušan (Mentor) More about this mentor... New window
ID Župerl, Uroš (Mentor) More about this mentor... New window
ID Šerbec, Iztok (Comentor)
Files:.pdf MAG_Kozel_Rok_2016.pdf (3,00 MB)
MD5: D096390DE89B72DC9FF21791234CEEE1
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V tem delu se ukvarjamo z analizo podatkov, ki jih generira končni uporabnik v mobilnem omrežju. Pokazati želimo možnost priprave podatkov za modeliranje ter predlagati nov način nastavitve optimalnih parametrov modela. Iz podatkov smo izluščili informacije s pomočjo metod rudarjenja, kjer smo želeli pridobiti informacije o aktivnih in neaktivnih uporabnikih v določenem deležu populacije. Cilj je preizkusiti metode rudarjenja pri določeni topologiji omrežja in preveriti ustreznost modelov za določenega mobilnega operaterja. Predlagamo še pripravo izhodnih podatkov modela ter rezultate vizualiziramo, ovrednotimo in jih primerjamo s prehodnimi deli.
Keywords:mobilno omrežje, analiza omrežja, odhod uporabnika, podatkovna znanost
Place of publishing:[Maribor
Publisher:R. Kozel
Year of publishing:2016
PID:20.500.12556/DKUM-60472 New window
UDC:004.6:004.7(043.2)
COBISS.SI-ID:19828502 New window
NUK URN:URN:SI:UM:DK:5MMSQ0AE
Publication date in DKUM:07.07.2016
Views:1689
Downloads:184
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Social Network Analysis on Basis of Call Detail Records
Abstract:In this dissertation we are dealing with analysis of the data generated by end user in mobile network. We want to show possibility of preparing the data for modeling and propose a new way of setting optimal parameters for the model. From data we extracted information using data mining methods, where we want to obtain information on active and inactive user in specified proportion of population. The aim is to test mining methods in particular network topology and verify if our models are appropriate for particular mobile operator. We suggest further preparation data from model output and visualize results, evaluate and compare them to previous work.
Keywords:mobile network, network analysis, churn, data science


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