diplomsko delo
Miha Cerar (Avtor), Franc Solina (Mentor)

Povzetek

Taksonomija vizualizacij v poslovni inteligenci

Ključne besede

vizualizacija;vizualizacija podatkov;vizualizacija informacij;poslovna inteligenca;vizualna analitika;poslovna analitika;časovne vrste;podatkovno rudarjenje;podatkovna skladišča;tehnologija OLAP;pregledna plošča;grafikon;tabela;zemljevid;kriterij;taksonomija;vrsta podatkov;metoda;oblika;sporočilo;tehnike;računalništvo;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [M. Cerar]
UDK: 004:001.818(043.2)
COBISS: 9345108 Povezava se bo odprla v novem oknu
Št. ogledov: 53
Št. prenosov: 13
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Taxonomy of visualizations in business intelligence
Sekundarni povzetek: In business intelligence visual analytics plays a key role in decision making. With the help of visualization it allows quicker and more reliable decisions. Since man is always more effective in research, development and interaction between users, when in a set system, it is reasonable to ask ourselves what types of visualizations we know and how we can classify them according to different criteria. In this thesis we aim to facilitate the understanding, use and construction of automatically generated visualizations with the goal to define the taxonomy of visualizations in business intelligence, according to various criteria. Through various examples of visualization programs, we compared a variety of visualizations and as such on the basis of criteria we identified areas of visualization according to criteria depending on the type of data, shape, communications and interactive techniques.
Sekundarne ključne besede: visualization;data visualization;information visualization;business intelligence;visual analysis;time series;data mining;data warehousing;OLAP technology;dashboard;chart;table;map;criteria;taxonomy;data type;method;shape;message;techniques;computer science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: 84 str.
ID: 24142524