A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture-Reference-Cited by-同舟云学术

A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture

Published:2021-11 Issue: Volume:232 Page:107460
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Aditya Shastry K.^ORCID,H.A. Sanjay

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference50 articles.

1. A survey on big data pre-processing;Guan,2017

2. Data mining and pattern recognition in agriculture;Bauckhage;Künstl Intell.,2013

3. A literature review of feature selection techniques and applications: Review of feature selection in data mining;Visalakshi,2014

4. L.J. Herrera, V. Lafuente, R. Ghinea, M.M. Perez, I. Negueruela, H. Pomares, I. Rojas, A. Guillén, Mutual information-based feature selection in spectrometric data for agriculture applications, in: Proceedings of the International Multiconference of Engineers and Computer Scientists, IMECS, Mar 18–20, 2015, Vol I Hong Kong.

5. Feature selection: Filter methods performance challenges;Cherrington,2019

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