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Visualization and Analytics Tool for Multi-dimensional Data

Published: 09 March 2018 Publication History

Abstract

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.

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    ICBDE '18: Proceedings of the 2018 International Conference on Big Data and Education
    March 2018
    146 pages
    ISBN:9781450363587
    DOI:10.1145/3206157
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • University of Florida: University of Florida

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 09 March 2018

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    Author Tags

    1. Visualization tool
    2. analytics tool
    3. big data
    4. data mining
    5. multi-dimensional data
    6. statistics

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