4 天前 - … field issues for fake content detection, like spam. Jiang et al. [6] designed stacking
scheme for the fake news identification … Figure 3a exhibits the comparative analysis of testing …

13 天前 - … the pertinent issue of financial fraud detection in the USA by performing a comparative
… , particularly concentrating on their anomaly detection capabilities. This research will …

20 天前 - … dataset to tackle imbalanced issue for credit card fraud detection. The approach
adopts … context of financial fraud detection. Secondly, we provide a comparative analysis of our …

27 天前 - … Problem Statement This study primarily addresses the problem of classifying spam
from … This study compared traditional ML and DL models on a spam dataset to discover the …

35 天前 - … Further, the detection of many webpage semantics such … linguistic problem, but they
are processed as a vision problem … For domain validation, we compare webpage logos with …

39 天前 - … Much research has tackled the problem by considering … learning framework for
detecting fake news on social media … achieve an F1 score of 0.93 compared to 0.91 for state of …

44 天前 - … raises privacy issues and is resource intensive [10]. The solution to the phishing
problem is … In order to find the optimal ensemble learning model, we compare them in this work …

46 天前 - … Network) method for detecting fake accounts in social media. … and provides a
comparative study of existing work done. … fake account identification is a classification problem in …

47 天前 - … in the problem of detecting spam reviews on Vietnamese e-commerce websites,
namely … reviews achieved 87.22% (an increase of 1.64% compared to the baseline), while the …

49 天前 - … Due to cyberattacks and various strategies, phishing websites are a problem on
the … The dataset performed well in comparison to the eight machine learning classifications. …