@misc{Krawczak_Maciej_An_2012,
 author={Krawczak, Maciej and Szkatuła, Grażyna},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2012},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 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.},
 title={An Approach for Reduction of Dimension of Data Series},
 type={Text},
 URL={http://www.rcin.org.pl/Content/109208/PDF/RB-2012-51.pdf},
 keywords={Data series, Nominal attributes, Dimension reduction, Envelopes, Essential attributes, Serie danych, Atrybuty nominalne, Redukcja wymiarów, Atrybuty elementarne, Obwiednia},
}