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Impacts of feature selection on classification of individual activity recognitions for prediction of crowd disasters
Author(s) -
Fatai Idowu Sadiq,
Ali Selamat,
Ondřej Krejcar,
Roliana Ibrahim
Publication year - 2019
Publication title -
international journal of intelligent information and database systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 12
eISSN - 1751-5866
pISSN - 1751-5858
DOI - 10.1504/ijiids.2019.10024497
Subject(s) - computer science , feature selection , artificial intelligence , redundancy (engineering) , pattern recognition (psychology) , benchmark (surveying) , activity recognition , machine learning , feature (linguistics) , dimensionality reduction , accelerometer , support vector machine , crowdsourcing , false alarm , k nearest neighbors algorithm , relevance (law) , data mining , linguistics , philosophy , geodesy , world wide web , political science , law , geography , operating system

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