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master's thesis
Eksplorativna analiza podataka iz sustava za isporuku oglasa
2016. urn:nbn:hr:200:413940
Miljević, Marinko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Miljević, M. (2016). Eksplorativna analiza podataka iz sustava za isporuku oglasa (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:413940

Miljević, Marinko. "Eksplorativna analiza podataka iz sustava za isporuku oglasa." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:413940

Miljević, Marinko. "Eksplorativna analiza podataka iz sustava za isporuku oglasa." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:413940

Miljević, M. (2016). 'Eksplorativna analiza podataka iz sustava za isporuku oglasa', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 19 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:413940

Miljević M. Eksplorativna analiza podataka iz sustava za isporuku oglasa [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2024 November 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:413940

M. Miljević, "Eksplorativna analiza podataka iz sustava za isporuku oglasa", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:413940

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Metadata
TitleEksplorativna analiza podataka iz sustava za isporuku oglasa
Title (english)An exploratory analysis of data from the ad delivery system
AuthorMarinko Miljević
MentorZdravko Krpić (mentor)
Committee memberZdravko Krpić (predsjednik povjerenstva)
Committee memberMirko Kohler (član povjerenstva)
Committee memberJosip Balen (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2016-10-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
U ovom radu je izvršena eksplorativna analiza podataka iz sustava za isporuku oglasa. Analizom se pokušalo otkriti utjecaj pojedinih atributa na ciljni atribut CTR. Provedenom analizom došlo se do zaključaka da atributi koji opisuju datum i vrijeme prikaza oglasa (Hour i DateHour), atributi koji opisuju gdje i kako je oglas prikazan (AdBannerType, Categories, Country i DeviceOS) i atribut Impressions više utječu na ciljni atribut. Tim atributima se u radu posvetila veća pažnja u analizi tako da su dodatno filtrirani te kombinirani međusobno kako bi se osim utjecaja svakog pojedinačnog atributa na ciljni atribut provela i analiza utjecaja različitih kombinacija dva atributa na ciljni atribut. Kao rezultat toga zaključeno je da su uspješnije kategorije one koje se odnose na vijesti, obrazovanje, tehnologiju, piće, hranu, zdravlje, računarstvo, zabavu i sport, da su najčešći i najuspješniji tipovi banera Parallax i Interstitial i da se najveći CTR najčešće ostvaruje od 08:00 do 10:00 sati te od 14:00 do 17:00 sati. Na rezultate analize su utjecali nejednaka raspodjela vrijednosti atributa i niski broj prikaza oglasa. Rezultati dobiveni analizom mogu poslužiti za usporedbe s rezultatima budućih sličnih analiza, a također mogu poslužiti osobama koje bolje poznaju način funkcioniranja sustava za isporuku oglasa u unaprjeđenju tog sustava
Abstract (english)
The task of this thesis was to analyze the data from the system for ad delivering using Exploratory data analysis. The analysis attempts to discover the impact of certain attributes on the target attribute CTR. The analysis led to the conclusion that certain attributes such as attributes that describe date and time when the ad was displayed (Hour and DateHour), attributes that describe where and how the ad was displayed (AdBannerType, Categories, Country and DeviceOS) and attribute Impressions have higher influence on the target attribute. The thesis devoted more attention to the analysis of these attributes in a way that they were further filtered and combined with each other to see the effect of different combinations of two attributes on the target attribute. As a result it has been concluded that categories related to news, education, technology, drink, food, health, computing, entertainment and sport are the most successful, that most common and most successful types of banners are Interstitial and Parallax and that the highest CTR is usually achieved from 08:00 a.m. to 10:00 a.m. and from 02:00 p.m. to 05:00 p.m. Unequal distribution of attribute values and low number of ad impressions influenced the results of the analysis. Results obtained from the analysis can be used for comparisons with the results of similar analysis in future, but also can be used by people with better knowledge of how the ad delivery system works to improve that system
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:413940
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-12-19 16:37:56