Metadata language
An Approach for Reduction of Dimension of Data Series
Subtitle:Raport Badawczy = Research Report ; RB/51/2012
Creator:Krawczak, Maciej ; Szkatuła, Grażyna
Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:30 pages ; 21 cm ; Bibliography p. 28-30
Subject and Keywords:Data series ; Nominal attributes ; Dimension reduction ; Envelopes ; Essential attributes ; Serie danych ; Atrybuty nominalne ; Redukcja wymiarów ; Atrybuty elementarne ; Obwiednia
Abstract:This paper introduced 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: Detailed Resource Type: Source: Language: Language of abstract: 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
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