VISUAL DATA MINING

Authors

  • Tanja Radojčić Autor

DOI:

https://doi.org/10.24867/16BE34Radojcic

Keywords:

visualization, data search, big data, visualization techniques

Abstract

This paper provides insight into data and data visualization techniques to facilitate the use of large amounts of data. Examples show how much visual representation can facilitate a person's work in everyday life. Man and algorithm are combined for the best possible outcome.

References

[1] D.A.Keim, „IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS“, 2002.
[2] D. A. KEIM, „Visual Data-Mining Techniques“. 2002.
[3] http://cloudnsci.fi/wiki/index.php?n=HeatMiner.Rate OfIndebtedness (pristupljeno u oktobru 2021.)
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[5] http://cloudnsci.fi/wiki/index.php?n=HeatMiner.Traf ficAccidentsInHelsinki (pristupljeno u oktobru 2021.)
[6] http://cloudnsci.fi/wiki/index.php?n=HeatMiner.Dee rCrashesInFinland (pristupljeno u oktobru 2021.)
[7] http://cloudnsci.fi/wiki/index.php?n=HeatMiner.Visi torLocationHeatmaps (pristupljeno u oktobru 2021.)
[8] E. Karn, „Visualization of Real Time Data Driven Systems using D3 Visualization Technique“.
[9] D. Asimov, “The grand tour: A tool for viewing multidimensional data“, 1985.
[10] S. J. Simoff1, M. H. Böhlen, and A. Mazeika, „Visual Data Mining: An Introduction and Overview“ ,2007.

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Published

2022-02-04

Issue

Vol. 37 No. 02 (2022): Proceedings of the Faculty of Technical Sciences

Section

Electrotechnical and Computer Engineering