Online-Fraud Detection, Web-Scraped Dataset Analysis and Algorithm Performance EvaluationThe volume of online information transfer has raised significantly in past few years. It is mainly due to various online portals that are currently one of the primary sources used by people. It is not always ...
For online sellers, online payment fraud is a huge cost and the top concern for44% of finance professionals.If they fall victim to fraud they lose the merchandise that was ordered, plus when the customer reports the fraud to their bank, the merchant gets charged for the fraudulent purchase -...
Online model serving with Fraud Detection model trained with XGBoost on IEEE-CIS dataset - bentoml/Fraud-Detection-Model-Serving
We use the first 80% of the transactions as the training dataset, and the rest as the test dataset. To calculate the decision incentives, we set profit rate (\( pr \)) to 5%, lifetime value multiplier (\( ltv \)) to 3, fraud loss multiplier (\( flm \)) to 2.4, and review c...
This technique discover the relationship between different items in a dataset. All those relationships are represented in the form of association rules. To find the data irregularities association rule mining is used. An association rule, A=> B, will be of the form, for a set of transactions,...
dataset.domainsproject.org dataset of 616 millions domains (16GB!) Stevemorse.org Searching the Social Security Death Index UK Census Online Database of deaths, births, and marriages. From 1841 to the beginning of the 21st century. Only the first and last names can be searched. Passwords Link...
leveraging LSTM and CNN for precise deepfake detection. With a diverse dataset, our study aims to identify and mitigate the harmful effects of deepfake technology, including financial fraud and misinformation dissemination. Through rigorous training, our model achieves an impressive accuracy of over 96.75...
history of each page in the dataset. They show that the prevalence of personal attacks on moderators is more extensive than estimated in previous research, using only the final version of the talk page. Waseem and Hovy (2016) provide a dataset for detecting hate speech in the form of racist...
Thirteen recommendations to curb digital payment fraud from parliamentary panel UPI Fraud Up by 85% in FY2023-24: Finance Ministry Data Presented in Lok Sabha We missed this earlier:The Reserve Bank of India (RBI) has introduced an exclusive domain for Indian banks, ‘bank.in’, Governo...
“ground truth” dataset). With such a gold standard of cases, future studies could use supervised machine learning to examine the predictive power of combinations of known indicators (i.e. theory-led investigations). Most importantly, the dataset would also allow for the discovery of patterns ...