Visualization and Analytics Tool for Multi-dimensional Data

被引：0
|
作者：
Jesenko, David [1 ]
Brumen, Matej [1 ]
Lukac, Niko [1 ]
Zalik, Borut [1 ]
Mongus, Domen [1 ]
机构：
[1] Univ Maribor, Fac Elect Engn & Comp Sci, Koroska Cesta 46, SI-2000 Maribor, Slovenia
来源：
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON BIG DATA AND EDUCATION (ICBDE 2018) | 2018年
关键词：
Visualization tool; analytics tool; multi-dimensional data; big data; statistics; data mining; SYSTEM; INFORMATION; TESTS; TIME;
D O I：
10.1145/3206157.3206159
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a novel visualization and analytics tool, which is capable of searching for hidden relationships and patterns within large multi-dimensional data. The goal of the presented tool is to represent the data in novel ways, understandable and useful to the data owner, with new visual and statistical analytics. Various statistics are offered to the user in order to search for linear and nonlinear correlations between multiple variables. Using a simple dataset, we confirmed the suitability of the proposed tool for revealing new relationships and patterns in the used multi-dimensional data.
引用
收藏
页码：11 / 15
页数：5
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