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Authors: Michael Siebers and Ute Schmid

Affiliation: Otto-Friedrich-University, Germany

Keyword(s): Feature selection, Forward selection, Backward elimination.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining High-Dimensional Data ; Pre-Processing and Post-Processing for Data Mining ; Soft Computing ; Symbolic Systems

Abstract: Selecting appropriate features has become a key task when dealing with high-dimensional data. We present a new algorithm designed to find an optimal solution for classification tasks. Our approach combines forward selection, backward elimination and exhaustive search. We demonstrate its capabilities and limits using artificial and real world data sets. Regarding artificial data sets interleaving forward backward selection performs similar as other well known feature selection methods.

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Paper citation in several formats:
Siebers, M. and Schmid, U. (2010). INTERLEAVING FORWARD BACKWARD FEATURE SELECTION. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR; ISBN 978-989-8425-28-7; ISSN 2184-3228, SciTePress, pages 454-457. DOI: 10.5220/0003093204540457

@conference{kdir10,
author={Michael Siebers. and Ute Schmid.},
title={INTERLEAVING FORWARD BACKWARD FEATURE SELECTION},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR},
year={2010},
pages={454-457},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003093204540457},
isbn={978-989-8425-28-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR
TI - INTERLEAVING FORWARD BACKWARD FEATURE SELECTION
SN - 978-989-8425-28-7
IS - 2184-3228
AU - Siebers, M.
AU - Schmid, U.
PY - 2010
SP - 454
EP - 457
DO - 10.5220/0003093204540457
PB - SciTePress