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A machine learning-based methodology to uniquely identify network devices using DNS query patterns, combining unsupervised clustering (K-Means) with supervised classification (Random Forest).
Abstract: The purpose of this research is to determine whether or not the Random Forest (RF) algorithm is superior to the Linear Discriminant Analysis (LDA) method in terms of accuracy, recall, ...
Abstract: Resume parsing has become essential in modern recruitment systems, requiring efficient extraction and classification of candidate information from diverse document formats. This paper ...