Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/294
DC FieldValueLanguage
dc.contributor.authorGrujić, Nastasijaen_US
dc.contributor.authorNovović, Oliveraen_US
dc.contributor.authorBrdar, Sanjaen_US
dc.contributor.authorCrnojević, Vladimiren_US
dc.contributor.authorGovedarica, Miroen_US
dc.date.accessioned2019-09-23T10:05:50Z-
dc.date.available2019-09-23T10:05:50Z-
dc.date.issued2019-03-
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/294-
dc.description.abstract© 2019 IEEE. Data visualization is a graphical representation which helps in unveiling hidden patterns from large and complex data, so called Big Data. The term Big Data is used for datasets which have wide, varied and transcendental structure and are thus challenging for storing, analyzing and visualizing. Logical interpretation is not possible from raw data, because people are visual by nature. Only thanks to the visualization, the human brain can process, absorb and interpret concurrently plenty of information. Due to the fact that creation of information is growing more rapidly than people's consumption of information and that there is an urgent need for utilization of that information in real time, the automatization of the processing and visualization data is mandatory. Here, we examined how to automatize process of visualization of CDR (Call Detail Record) data using open source Python QGIS API.en_US
dc.titleMobile Phone Data visualization using Python QGIS APIen_US
dc.typeConference Paperen_US
dc.relation.conference18th International Symposium Infoteh-Jahorina, INFOTEH 2019 - Proceedingsen_US
dc.identifier.doi10.1109/INFOTEH.2019.8717767-
dc.identifier.scopus2-s2.0-85067118882-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85067118882-
dc.description.versionPublisheden_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptInstitut BioSense-
crisitem.author.deptInstitut BioSense-
crisitem.author.deptFakultet tehničkih nauka, Departman za računarstvo i automatiku-
crisitem.author.orcid0000-0002-2259-4693-
crisitem.author.orcid0000-0001-7144-378X-
crisitem.author.parentorgUniverzitet u Novom Sadu-
crisitem.author.parentorgUniverzitet u Novom Sadu-
crisitem.author.parentorgFakultet tehničkih nauka-
Appears in Collections:IBS Publikacije/Publications
Show simple item record

SCOPUSTM   
Citations

1
checked on Nov 20, 2023

Page view(s)

26
Last Week
8
Last month
3
checked on May 3, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.