Visual analytics of multidimensional dynamic data with a financial case study

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

This work deals with a problem of analysis of time variant objects. 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 geometrical 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 for the analyst is to analyze the generated visual images and to interpret the results in terms of the considered objects. We propose an algorithm for the problem solution. 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
Title of host publicationData Analytics and Management in Data Intensive Domains - XVIII International Conference, DAMDID/RCDL 2016, Revised Selected Papers
EditorsYannis Manolopoulos, Leonid Kalinichenko, Sergei O. Kuznetsov
PublisherSpringer Verlag
Pages237-247
Number of pages11
ISBN (Print)9783319571348
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event18th International Conference on Data Analytics and Management in Data-Intensive Domains, DAMDID 2016 - Ershovo, Russian Federation
Duration: 11 Oct 201614 Oct 2016

Publication series

NameCommunications in Computer and Information Science
Volume706
ISSN (Print)1865-0929

Conference

Conference18th International Conference on Data Analytics and Management in Data-Intensive Domains, DAMDID 2016
Country/TerritoryRussian Federation
CityErshovo
Period11/10/1614/10/16

Keywords

  • Data visualization
  • Financial data
  • Multidimensional data
  • Scientific visualization
  • Visual analytics

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