Feature Selection by Reordering

0339941 - ÚI 2010 RIV DE eng C - Conference Paper (international conference)
Jiřina, Marcel - Jiřina jr., M.
Feature Selection by Reordering.
SOFSEM 2005: Theory and Practice of Computer Science. Berlin: Springer, 2005 - (Vojtáš, P.; Bieliková, M.; Charron-Bost, B.; Sýkora, O.), s. 385-389. Lecture Notes in Computer Science, 3381. ISBN 3-540-24302-X.
[SOFSEM 2005. Conference on Current Trends in Theory and Practice of Computer Science /31./. Liptovský Ján (SK), 22.01.2005-28.01.2005]
R&D Projects: GA MŠMT LN00B096
Institutional research plan: CEZ:AV0Z10300504
Keywords : feature selection * reordering * mutual corelation
Subject RIV: BA - General Mathematics

Feature selection serves for both reduction of the total amount of available data (removing of valueless data) and improvement of the whole behavior of a given induction algorithm (removing data that cause deterioration of the results). A method of proper selection of features for an inductive algorithm is discussed. The main idea consists in proper descending ordering of features according to a measure of new information contributing to previous valuable set of features. The measure is based on comparing of statistical distributions of individual features including mutual correlation. A mathematical theory of the approach is described. Results of the method applied to real-life data are shown.
Permanent Link: http://hdl.handle.net/11104/0183309