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Fraud Detection In Mobile Transaction

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 23 Jun 2022 English Publisher:Zenodo
Authors: Srishti Singh;

doi: 10.5281/zenodo.6694534 , 10.5281/zenodo.6694533

Fraud Detection In Mobile Transaction

Abstract

This study aims to investigate the monetary exchange framework for portable information mining. It also explores the various learning models utilized by casual machine rangers. The two models are assembled using an information base that is inspired by the genuine article occupations given by a worldwide cash administration organization

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Keywords

Machine Learning, Data Science, Fraud Detection

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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