HIGHLIGHTS
- who: COMMUNICATION TECHNOLOGY et al. from the Faculty of Computing, Universiti Teknologi Malaysia, Malaysia have published the research work: - Hybrid Neighbourhood Component Analysis with Gradient Tree Boosting for Feature Selection in, in the Journal: (JOURNAL)
- what: This study proposed a model that integrates Analysis (NCA) with Gradient Tree Boosting (GTB) in modelling the United States (US) data. NCA is a feature selection technique used in this study to identify the significant factors influencing Once the significant factors were identified an artificial intelligence technique i.e. GTB was implemented in modelling the data where the value . . .
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