Object structure

Title:

An Approach for Reduction of Dimension of Data Series

Subtitle:

Raport Badawczy = Research Report ; RB/51/2012

Creator:

Krawczak, Maciej. Autor ; Szkatuła, Grażyna Maria. Autor

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2012

Description:

32 pages ; 21 cm ; Bibliography p. 32

Subject and Keywords:

Data series ; Nominal attributes ; Dimension reduction ; Envelopes ; Essential attributes ; Serie danych ; Atrybuty nominalne ; Redukcja wymiarów ; Atrybuty elementarne ; Obwiednia

Abstract:

In this paper, we introduce a new approach SEAA to reduce dimensionality of multidimensional data series. The approach creates a nominal (symbolic) representation of the original data series and considerably reduces their dimensionality. Experimental validation of the proposed dimension reduction was carried out for classification and clustering tasks. The calculations have shown that even deployment of large reduction of dimensionality causes the new representations to preserve information about the data series characteristics and retain information sufficient to their proper classification and clustering.

Relation:

Raport Badawczy = Research Report

Resource Type:

Report

Source:

RB-2012-51

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

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