A Scalable Approach for Fraud Detection in Online E-Commerce Transactions with Big Data Analytics Article Swipe

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Hangjun Zhou , Guang Sun , Sha Fu , Wangdong Jiang , Juan Xue ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.32604/cmc.2019.05214

With the rapid development of mobile Internet and finance technology, online e-commerce transactions have been increasing and expanding very fast, which globally brings a lot of convenience and availability to our life, but meanwhile, chances of committing frauds also come in all shapes and sizes. Moreover, fraud detection in online e-commerce transactions is not totally the same to that in the existing areas due to the massive amounts of data generated in e-commerce, which makes the fraudulent transactions more covertly scattered with genuine transactions than before. In this article, a novel scalable and comprehensive approach for fraud detection in online e-commerce transactions is proposed with majorly four logical modules, which uses big data analytics and machine learning algorithms to parallelize the processing of the data from a Chinese e-commerce company. Groups of experimental results show that the approach is more accurate and efficient to detect frauds in online e-commerce transactions and scalable for big data processing to obtain real-time property.

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Scalability Big data Computer science Analytics Property (philosophy) The Internet Data science Computer security Database World Wide Web Data mining Epistemology Philosophy

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Type: article
Language: en
Landing Page: https://doi.org/10.32604/cmc.2019.05214
OA Status: diamond
Cited By: 22
Related Works: 10
OpenAlex ID: https://openalex.org/W2954006418

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OpenAlex ID: https://openalex.org/W2954006418

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DOI: https://doi.org/10.32604/cmc.2019.05214

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Title: A Scalable Approach for Fraud Detection in Online E-Commerce Transactions with Big Data Analytics

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Type: article

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Language: en

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Publication year: 2019

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Publication date: 2019-01-01

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Authors: Hangjun Zhou, Guang Sun, Sha Fu, Wangdong Jiang, Juan Xue

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Landing page: https://doi.org/10.32604/cmc.2019.05214

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OA URL: https://doi.org/10.32604/cmc.2019.05214

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Concepts: Scalability, Big data, Computer science, Analytics, Property (philosophy), The Internet, Data science, Computer security, Database, World Wide Web, Data mining, Epistemology, Philosophy

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Cited by: 22

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