A survey and analysis of feature selection techniques in machine learning for IoT device classification within smart buildings

The Internet of Things (IoT) has transformed modern living and infrastructure by driving the development of sustainable smart buildings and enhancing building rehabilitation processes. In smart buildings, efficient machine learning (ML) classification of IoT devices is critical for improving securit...

Full description

Bibliographic Details

Main Authors:	Waseem, Quadri, Wan Isni Sofiah, Wan Din, Azamuddin, Ab Rahman, Naqeeb Khan, Sundas, Busaeed, Raed Abdullah Abobakr, Fairooz, Towfeeq
Format:	Article
Language:	en en
Published:	Springer 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/42940/1/A%20Survey%20and%20Analysis%20of%20Feature%20Selection%20Techniques%20in%20Machine%20Learning.pdf http://umpir.ump.edu.my/id/eprint/42940/7/A%20survey%20and%20analysis%20of%20feature%20selection%20techniques%20in%20machine%20learning%20for%20IoT%20device%20classification%20within%20smart%20buildings.pdf http://umpir.ump.edu.my/id/eprint/42940/ https://doi.org/10.1007/s41062-025-02203-7
Tags:	Add Tag No Tags, Be the first to tag this record!