Titlebook: Recent Advances on Soft Computing and Data Mining; Proceedings of the S Rozaida Ghazali,Nazri Mohd Nawi,Nureize Arbaiy Conference proceedin

heartburn

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Volatile-Oils

概观

顽固

Detection of Phishing Websites from URLs Using Hybrid Ensemble-Based Machine Learning Technique,forms, etc. Malicious actors often create clones of legitimate websites and then lure users to access these cloned sites so that they can capture user-sensitive information. This research proposes a hybrid ensemble-based machine-learning technique for predicting phishing websites from URLs to addres

DUST

小淡水鱼

帐单

小争吵

Detection of Phishing Websites from URLs Using Hybrid Ensemble-Based Machine Learning Technique,el. The experimental results of the proposed model demonstrate an outstanding performance of 93.0%, 92.2%, 93.4% and 92.8% for accuracy, recall, precision and f1-score respectively on the dataset used. When compared with some existing models, the model gave an outstanding performance.

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Conference proceedings 2024ghts into the concepts and techniques essential for maximizing the outcomes of large-scale research and data mining projects. Readers are guided through analytical thinking processes, addressing challenges in deciphering complex data systems and deriving commercial value from the data. Soft computin