FRAUD DETECTION IN CREDIT CARD TRANSACTIONS; USING PARALLEL PROCESSING OF ANOMALIES IN BIG DATA



A meta-analysis on gender differences in prevalence estimates of mental disorders following exposure to natural hazards

Background: Women report higher rates of trauma-related disorders compared to men.With women being disproportionately impacted by the consequences of natural hazards, this gender disparity may increase in their aftermath.Objective: This meta-analysis aimed at quantifying gender gaps in mental disorder prevalence following natural hazards, consideri

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HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence.

A Recommender System (RS) is an intelligent system that assists users in finding the items of their interest (e.g.books, movies, music) by preventing them to go through huge piles of data available online.In an effort to overcome the data sparsity issue in recommender systems, this research incorporates a content based filtering technique with fuzz

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Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates.

Accuracy of transcript quantification with RNA-Seq is negatively affected by positional fragment bias.This article introduces Mix2 (rd."mixquare"), a transcript quantification method which uses a mixture of probability distributions to model Sunscreen Applicators and thereby neutralize the effects of positional fragment bias.The parameters of Mix2

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