Use of BEXA Family Algorithms in Bioinformatics Data Classification

Riga Technical University 53rd International Scientific Conference: Dedicated to the 150th Anniversary and the 1st Congress of World Engineers and Riga Polytechnical Institute / RTU Alumni: Digest 2012
Madara Gasparoviča-Asīte, Ludmila Aleksejeva, Valdis Gersons

This article studies the possibilities of BEXA family classification algorithms – BEXA, FuzzyBexa and FuzzyBexa II in data, especially bioinformatics data, classification. Three different types of data sets were used in the study – data sets often used in the literature (like Iris data set), UCI data repository real life data sets (like breast cancer data set) and real bioinformatics data sets that have the specific character – a large number of attributes (several thousands) and a small number of records. For the comparison of classification results experiments were carried out using all data sets and other classification algorithms. As a result, conclusions were drawn and recommendations given about the use of each algorithm of BEXA family for classification of various real data, as well as an answer is given to the question, whether the use of these algorithms is recommended for bioinformatics data.

Atslēgas vārdi
Classification algorithms, bioinformatics data, BEXA, UCI data.
Hipersaite
http://scientific-conference2012.rtu.lv/sites/default/files/RTU_Conference_2012.pdf

Gasparoviča-Asīte, M., Aleksejeva, L., Gersons, V. Use of BEXA Family Algorithms in Bioinformatics Data Classification. No: Riga Technical University 53rd International Scientific Conference: Dedicated to the 150th Anniversary and the 1st Congress of World Engineers and Riga Polytechnical Institute / RTU Alumni: Digest, Latvija, Riga, 10.-12. oktobris, 2012. Riga: RTU Izdevniecība, 2012, 89.-89.lpp. ISBN 978-9934-10-360-5.

Publikācijas valoda
English (en)