caa a22 4500 606160507 CHVBK 20210128100630.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1620-2 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1620-2 Stańczyk Urszula Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland aut Ranking of characteristic features in combined wrapper approaches to selection [Elektronische Daten] [Urszula Stańczyk] The performance of a classification system of any type can suffer from irrelevant or redundant data, contained in characteristic features that describe objects of the universe. To estimate relevance of attributes and select their subset for a constructed classifier typically either a filter, wrapper, or an embedded approach, is implemented. The paper presents a combined wrapper framework, where in a pre-processing step, a ranking of variables is established by a simple wrapper model employing sequential backward search procedure. Next, another predictor exploits this resulting ordering of features in their reduction. The proposed methodology is illustrated firstly for a binary classification task of authorship attribution from stylometric domain, and then for additional verification for a waveform dataset from UCI machine learning repository. The Author(s), 2014 Feature ranking nationallicence Feature selection and reduction nationallicence Wrapper nationallicence Filter nationallicence Sequential backward search nationallicence Stylometry nationallicence Neural Computing and Applications Springer London 26/2(2015-02-01), 329-344 0941-0643 26:2<329 2015 26 521 https://doi.org/10.1007/s00521-014-1620-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1620-2 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Stańczyk Urszula Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 329-344 0941-0643 26:2<329 2015 26 521