Nevertheless, due to the success of deep learning in developing the highly intelligent program, our system can efficiently and effectively detect phone scams ...
PDF | On Dec 1, 2017, TonTon Hsien-De Huang and others published Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection |
Data-Driven and Deep Learning Methodology for Deceptive ...
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Fingerprint. Dive into the research topics of 'Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection'.
May 7, 2024 · Machine learning algorithms commonly used in fraud detection include supervised learning methods like logistic regression, decision trees, and ensemble methods.
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection. Conference Paper. Full-text available. Dec 2017.
Dec 13, 2023 · AI for fraud detection uses multiple machine learning models to detect anomalies in customer behaviors and connections as well as patterns of accounts and ...
In this paper, several Machine Learning models were constructed to establish whether the user is a human or a bot and conducted a comparative performance ...
In this paper, we propose a deep-learning based model to address the challenges as mentioned above. The model is a hybrid of artificial neural network (ANN), ...
Jul 23, 2023 · This discussion aims to examine the significant role that machine learning plays in the detection of fraudulent activities.
Mar 27, 2024 · This paper presents our attempt to build a hybrid system, ie, a sequential scheme for combining two deep learning models and efficiently detecting potential ...
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