Abstract: To address the limitations of existing clustering algorithms for multivariate time series, such as weak spontaneity and poor clustering performance, this paper proposes a multivariate time ...

Abstract: This research aims to develop a phishing detection model using the K-Nearest Neighbors (KNN) algorithm and compare its performance with Decision Tree (DT). With phishing threats on the rise, ...