在线虚假交易预警中的机器学习和人工智能

IF 0.6 4区 工程技术 Q4 Engineering Nuclear Engineering International Pub Date : 2015-12-31 DOI:10.18034/ei.v3i2.566
N. Bynagari
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引用次数: 16

摘要

人工智能(AI)是现代最有前途和最有趣的创新之一。它的潜力几乎是无限的,从个人设备的智能音乐选择,到大数据的智能分析,以及实时欺诈检测和规避。人工智能哲学的核心假设是,一旦计算机系统获得了足够的数据,它就可以根据这些输入进行学习。提供的数据越多,它的学习能力就越复杂。这种特性被称为“机器学习”(ML)。今天,机器学习探索的机会很多,其中之一是能够从过去的网络欺诈经验中学习,建立一个不断发展的安全系统,并开发更严格的欺诈检测机制。继续阅读以了解更多关于机器学习的信息,现代银行、电子商务和医疗保健中欺诈的类型和严重程度,以及机器学习如何成为一种创新、及时和有效的欺诈预防技术。
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Machine Learning and Artificial Intelligence in Online Fake Transaction Alerting
Artificial Intelligence (AI) is one of the most promising and intriguing innovations of modernity. Its potential is virtually unlimited, from smart music selection in personal gadgets to intelligent analysis of big data and real-time fraud detection and aversion. At the core of the AI philosophy lies an assumption that once a computer system is provided with enough data, it can learn based on that input. The more data is provided, the more sophisticated its learning ability becomes. This feature has acquired the name "machine learning" (ML). The opportunities explored with ML are plentiful today, and one of them is an ability to set up an evolving security system learning from the past cyber-fraud experiences and developing more rigorous fraud detection mechanisms. Read on to learn more about ML, the types and magnitude of fraud evidenced in modern banking, e-commerce, and healthcare, and how ML has become an innovative, timely, and efficient fraud prevention technology.
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来源期刊
Nuclear Engineering International
Nuclear Engineering International 工程技术-核科学技术
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审稿时长
6-12 weeks
期刊介绍: Information not localized
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