HIGHLIGHTS
- who: IJECE from the Department of Information Technology, Faculty of Computers and Information, University have published the paper: International Journal of Electrical and Computer Engineering (IJECE), in the Journal: (JOURNAL) of Sep/12,/2022
- what: The authors propose a new hyper ensemble machine learning method that combines the predictions from two methodologies the outcomes of isolation forest-k-means and random forest using a voting majority. The fundamental contributions of this research are i) introducing comprehensive research of previous anomaly detection algorithms, ii) proposing an ensemble machine_learning model for detecting anomalies is proposed, and iii . . .
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