Feature selection for classification tasks: Expert knowledge or traditional methods?

Author:

Corrales David Camilo12,Lasso Emmanuel1,Ledezma Agapito2,Corrales Juan Carlos1

Affiliation:

1. Universidad del Cauca, Grupo de Ingeniería Telemática, Campus Tulcán, Popayán, Colombia

2. Universidad Carlos III de Madrid, Departamento de Ciencias de la Computación e Ingeniería, Avenida de la Universidad, Leganés, Spain

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference53 articles.

1. Toward scalable systems for big data analytics: A technology tutorial;Hu;IEEE Access,2014

2. A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal;Corrales;Journal of Computers,2015

3. A survey on feature selection methods, 40th-year commemorative issue;Chandrashekar;Computers Electrical Engineering,2014

4. Wrapper feature subset selection for dimension reduction based on ensemble learning algorithm, The Third Information Systems International Conference;Panthong;Procedia Computer Science,2015

5. Liu H. and Motoda H. , Chapman & Hall/CRC, Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series).2007.

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