Correlation n-star Graphs

dc.contributor.authorDudáš, Adam
dc.contributor.authorModrovičová, Bianka
dc.date.accessioned2026-04-24T07:16:33Z
dc.date.available2026-04-24T07:16:33Z
dc.date.issued2026
dc.descriptionIn: IPSI transactions on internet research : multi-, inter-, and trans-disciplinary issues in computer science and engineering. Belehrad : IPSI, 2026. ISSN 1820-4503. Vol. 22, no. 2 (2026), pp. 15-33.
dc.description.abstractWhen working with correlation analysis and the visualization of its results and processes, the systematic identification of correlation classes is often overlooked. Such classes can be described as sets of attributes of the studied dataset that share similar correlation patterns − like the strength and direction of the relationship measured between a pair of attributes − and can be used as a method of identification of significant and insignificant correlations while introducing an attribute hierarchy for automated predictive analysis. This work proposes correlation n-star graphs, a graph-based visualization model designed to support automatic identification of these classes in multidimensional datasets. The work focuses on the design of the visualization model, a Python implementation of the proposed concept, and an experimental evaluation on three benchmark datasets assessing both qualitative and quantitative aspects of the visualization and correlation classification.
dc.description.sponsorshipUGA UMB UGA-14-PDS-2025 Korelačné štruktúry a vizuálna analýza vzorov v mnohorozmerných datasetoch
dc.identifier.doihttps://doi.org/10.58245/ipsi.tir.2602.03
dc.identifier.issn1820-4503
dc.identifier.urihttps://repo.umb.sk/handle/123456789/1421
dc.language.isoen
dc.publisherIPSI : Belehrad
dc.rightsCC BY-NC-ND Creative Commons Attribution-NonCommercial-NoDerivatives 4.0. International
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectkorelačné štruktúry
dc.subjectcorrelation structures
dc.subjectkorelačné efekty
dc.subjectvizualizácia
dc.subjectvisualization
dc.subjectdátové analýzy
dc.titleCorrelation n-star Graphs
dc.typeArticle
dc.typeinfo:eu-repo/semantics/article

Na stiahnutie

Pôvodný balík
Teraz sa zobrazuje 1 - 1 z 1
Načítavam...
Obrázok miniatúry
Veľkosť:
15.23 MB
Formát:
Adobe Portable Document Format