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Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification

SYSNO ASEP	0357271
Document Type	V - Research Report
R&D Document Type	The record was not marked in the RIV
Title	Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification
Author(s)	Somol, Petr (UTIA-B)_RID Vácha, Pavel (UTIA-B)_RID Mikeš, Stanislav (UTIA-B)_RID Hora, Jan (UTIA-B) Pudil, Pavel (UTIA-B)_RID Žid, Pavel (UTIA-B)_{RID, ORCID}
Issue data	Praha: ÚTIA, 2010
Series	Research Report
Series number	2287
Number of pages	13 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	feature selection ; software library ; subset search ; attribute selection ; variable selection ; optimization ; machine learning ; classification ; pattern recognition
Subject RIV	BD - Theory of Information
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	We introduce a new standalone widely applicable software library for feature selection (also known as attribute or variable selection), capable of reducing problem dimensionality to maximize the accuracy of data models, performance of automatic decision rules as well as to reduce data acquisition cost. The library can be exploited by users in research as well as in industry. Less experienced users can experiment with different provided methods and their application to real-life problems, experts can implement their own criteria or search schemes taking advantage of the toolbox framework. In this paper we first provide a concise survey of a variety of existing feature selection approaches. Then we focus on a selected group of methods of good general performance as well as on tools surpassing the limits of existing libraries. We build a feature selection framework around them and design an object-based generic software library. We describe the key design points and properties of the library.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2011

Number of the records: 1