Visual analytics of multidimensional dynamic data with a financial case study

This source preferred by Alexander Pasko

This data was imported from Scopus:

Authors: Popov, D.D., Milman, I.E., Pilyugin, V.V. and Pasko, A.A.

Journal: Communications in Computer and Information Science

Volume: 706

Pages: 237-247

ISBN: 9783319571348

ISSN: 1865-0929

DOI: 10.1007/978-3-319-57135-5_17

© Springer International Publishing AG 2017. 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.

The data on this page was last updated at 04:42 on September 24, 2017.