A survey on pre-processing techniques: Relevant issues in the context of environmental data mining-Reference-Cited by-同舟云学术

A survey on pre-processing techniques: Relevant issues in the context of environmental data mining

Published:2016-12-01 Issue:6 Volume:29 Page:627-663
ISSN:1875-8452
Container-title:AI Communications
language:
Short-container-title:AIC

Author:

Gibert Karina¹,Sànchez–Marrè Miquel²,Izquierdo Joaquín³

Affiliation:

1. Knowledge Engineering and Machine Learning Group, Department of Statistics and Operation Research, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona, Catalonia, Spain

2. Knowledge Engineering and Machine Learning Group, Computer Science Department, Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona, Catalonia, Spain

3. Fluing-IMM Universitat Politècnica de València, Valencia, Spain

Publisher

IOS Press

Subject

Artificial Intelligence

Reference226 articles.

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2. C.C. Aggarwal, Outlier analysis, in: Data Mining, Springer, 2015, pp. 237–263.

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4. Instance-based learning algorithms;Aha;Machine Learning,1991

5. J. Aitchison, in: Principles of Compositional Data Analysis, Lecture Notes – Monograph Series, 1994, pp. 73–81.

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