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Title:
SPLETNA APLIKACIJA ZA ANALIZO TELEVIZIJSKE GLEDANOSTI Z UPORABO OGRODIJ ANGULARJS IN D3.JS
Authors:
ID
Karahasanović, Alen
(
Author
)
ID
Bošković, Borko
(
Mentor
)
More about this mentor...
ID
Šumak, Boštjan
(
Comentor
)
Files:
VS_Karahasanovic_Alen_2016.pdf
(4,13 MB)
MD5: 7F47DA19D21F7DE04F3643594E455503
Language:
Slovenian
Work type:
Undergraduate thesis
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomski nalogi smo implementirali prototipno aplikacijo za analizo televizijske gledanosti z uporabo ogrodij AngularJS in D3.js in tehnologij Node.js, Express.js ter MongoDB. V okviru tega smo preučili metode merjenja televizijske gledanosti in raziskali prednosti merjenja podatkov na podlagi tehnologije IPTV. Uporabljena ogrodja so nam omogočila hiter in učinkovit razvoj aplikacije, ki je uporabniku prijazna. Aplikacija omogoča uporabniški vmesnik za kreiranje poizvedb in prikazovanje podatkov gledanosti v obliki grafov in tabel.
Keywords:
AngularJS
,
D3.js
,
analiza televizijske gledanosti
Place of publishing:
[Maribor
Publisher:
A. Karahasanović
Year of publishing:
2016
PID:
20.500.12556/DKUM-62531
UDC:
621.397.13:005.52(043.2)
COBISS.SI-ID:
20189206
NUK URN:
URN:SI:UM:DK:MYF8ASIM
Publication date in DKUM:
07.09.2016
Views:
1339
Downloads:
130
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
WEB APPLICATION FOR THE ANALYSIS OF TELEVISION VIEWING USING ANGULARJS AND D3.JS FRAMEWORKS
Abstract:
In our thesis we implemented a prototype application for the analysis of television viewing using AngularJS and D3.js frameworks and Node.js, Express.js and MongoDB technologies. In this context we studied the methods of television viewing measurement and explored the advantages of measuring data based on the IPTV technology. The used frameworks enabled us a fast and efficient development of a user friendly application. The application offers a user interface that enables the creation of queries and displaying viewing data in the form of charts and tables.
Keywords:
AngularJS
,
D3.js
,
Analysis of television viewing
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