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DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
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FL - Faculty of Logistic
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FS - Faculty of Mechanical Engineering
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UM - University of Maribor
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COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
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Title:
Orodje za vizualno analitiko večdimenzionalnih podatkov
Authors:
ID
Brumen, Matej
(
Author
)
ID
Mongus, Domen
(
Mentor
)
More about this mentor...
ID
Lukač, Niko
(
Comentor
)
Files:
MAG_Brumen_Matej_2017.pdf
(13,82 MB)
MD5: 4F50327F804ADFE26D26DB99668CBE88
PID:
20.500.12556/dkum/b4c6a6a0-c9b6-4ed1-b526-1f768bf559fe
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 magistrskem delu predstavimo orodje za vizualno analitiko večdimenzionalnih podatkov. V analizi sorodnega dela predstavimo tehnike vizualizacije masovnih podatkov in tradicionalne ter napredne tehnike odkrivanja znanja. Na tej osnovi podrobneje opišemo razvito orodje in s primeri uporabe demonstriramo njegovo učinkovitost. Z rezultati pa tudi potrdimo pravilnost delovanja implementiranih funkcionalnosti.
Keywords:
vizualna analitika
,
masovni podatki
,
analiza odvisnosti
,
korelacija
,
odkrivanje znanja
Place of publishing:
[Maribor
Publisher:
M. Brumen
Year of publishing:
2017
PID:
20.500.12556/DKUM-68691
UDC:
004.515.66:004.62(043.2)
COBISS.SI-ID:
20971798
NUK URN:
URN:SI:UM:DK:RJCHXSNV
Publication date in DKUM:
24.10.2017
Views:
1357
Downloads:
156
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
09.10.2017
Secondary language
Language:
English
Title:
A tool for visual analytics of multidimensional data
Abstract:
This Master's thesis introduces a tool for visual analytics of multidimensional data. During the analysis of the related work, technique for big data visualization and traditional as well as advanced knowledge discovery methods are presented. On this basis, the developed tool is described details, while its efficiency is demonstrated with several use-cases. The correctness of the developed methods is proved with the results.
Keywords:
visual analytics
,
big data
,
correlation analysis
,
knowledge discovery
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