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Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach

 

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Opened Access Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach
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Author: Tallón Ballesteros, Antonio Javier
Riquelme Santos, José Cristóbal
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2015
Published in: Bioinspired Computation in Artificial Systems : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, Elche, Spain, June 1-5, 2015, Proceedings, Part II. Lectures notes in Computer Science, v.9108
ISBN/ISSN: 978-3-319-18832-4
0302-9743
Document type: Chapter of Book
Abstract: This paper presents a novel procedure to apply in a sequential way two data preparation techniques from a different nature such as data cleansing and feature selection. For the former we have experienced with a partial removal of outliers via int...
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Size: 239.3Kb
Format: PDF

URI: http://hdl.handle.net/11441/42752

DOI: http://dx.doi.org/10.1007/978-3-319-18833-1_39

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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