CREDIT CARD FRAUD DETECTION USING ADABOOST AND MAJORITY VOTING

Credit Card Fraud Detection Using AdaBoost and Majority Voting

Credit card fraud is a serious problem in financial services.Billions of dollars are lost due to credit card fraud every year.There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues.In this paper, Small Bookcase machine learning algorithms are used to detect credit card fraud.Standard models are

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Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model

Effective connectivity measures the pattern of causal interactions between brain regions.Traditionally, these patterns of causality are inferred from brain recordings using either non-parametric, i.e., model-free, or parametric, i.e., model-based, approaches.The latter approaches, when based on biophysically plausible models, have the advantage tha

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Hemoperitoneum secondary to sigmoid diverticulitis

Colonic diverticular Car Visor disease is the term to describe the presence of an uninflamed diverticulum of the colon.It is considered a common disease, characterized by the formation of false diverticula in the colonic wall at points of weakness of that, its prevalence increases with age and a minority of patients affected by this disease develop

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