Visual analytics of multidimensional dynamic data

Dmitry D. Popov, Igal E. Milman, Victor V. Pilyugin, Alexander A. Pasko

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

This work deals with a problem of analysis of a time variant object. Each object is characterized by a set of numerical parameters. The visualization method is used to conduct the analysis. Insights of interest for the analyst about the considered objects are obtained in several steps. At the first step, a geometric interpretation of the initial data is introduced. Then, the introduced mathematical model undergoes several transformations. These transformations correspond to solving the first problem of the visualization method, in particular obtaining visual representations of data. The next step is for the analyst to analyse the generated visual images and to interpret the results in terms of the considered objects. We propose an algorithm for the problem solving. Developed interactive visualization software is described, which implements the proposed algorithm. We demonstrate how with this software the user can obtain insights regarding the creation and disappearance of object clusters and bunches and find invariants in the initial data changes.

Original languageEnglish
Pages (from-to)51-57
Number of pages7
JournalCEUR Workshop Proceedings
Volume1752
Publication statusPublished - 2016
Externally publishedYes
Event18th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016 - Ershovo, Moscow Region, Russian Federation
Duration: 11 Oct 201614 Oct 2016

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