A Classification Model for Multispectral Forest Datatype with the help of a Decision Tree and Wrapper Based Forward Feature Selection Technique
In: Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2021, Jg. 302 (2022), S. 444-456
Online
E-Book
Zugriff:
Titel: |
A Classification Model for Multispectral Forest Datatype with the help of a Decision Tree and Wrapper Based Forward Feature Selection Technique
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Autor/in / Beteiligte Person: | Sahu, Madhusmita ; Dash, Rasmita ; Kacprzyk, Janusz, Series Editor ; Gomide, Fernando, Advisory Editor ; Kaynak, Okyay, Advisory Editor ; Liu, Derong, Advisory Editor ; Pedrycz, Witold, Advisory Editor ; Polycarpou, Marios M., Advisory Editor ; Rudas, Imre J., Advisory Editor ; Wang, Jun, Advisory Editor ; Sahoo, Jyoti Prakash [Ed.] ; Tripathy, Asis Kumar [Ed.] ; Mohanty, Manoranjan [Ed.] ; Li, Kuan-Ching [Ed.] ; Nayak, Ajit Kumar [Ed.] |
Zeitschrift: | Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2021, Jg. 302 (2022), S. 444-456 |
Veröffentlichung: | 2022 |
Medientyp: | E-Book |
ISBN: | 978-981-16-4806-9 (print) ; 978-981-16-4807-6 (print) |
DOI: | 10.1007/978-981-16-4807-6_42 |
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