Impacts of feature selection on classification of individual activity recognitions for prediction of crowd disasters | Zendy

Ondřej Krejcar | Zendy; Roliana Ibrahim | Zendy; Fatai Idowu Sadiq | Zendy; Ali Selamat | Zendy

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Impacts of feature selection on classification of individual activity recognitions for prediction of crowd disasters

Author(s) -

Ondřej Krejcar,

Roliana Ibrahim,

Fatai Idowu Sadiq,

Ali Selamat

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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