Big-data driven approaches in materials science for real-time detection and prevention of fraud-Reference-Cited by-同舟云学术

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Big-data driven approaches in materials science for real-time detection and prevention of fraud

Published:2021-05 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Sirisha Madhuri T.,Ramesh Babu E.,Uma B.,Muni Lakshmi B.

Publisher

Elsevier BV

Subject

General Medicine

Reference14 articles.

1. Social big data: recent achievements and new challenges;Bello-Orgaz;Inform. Fusion,2016

2. CC Fraud Dataset, http://packages.revolutionanalytics.com/datasets/, Apr. 2013, (accessed 2016-06-14).

3. Cluster Mode Deployment Spark 1.6.1, http://spark.apache.org/docs/latest/. Mar. 2016, (accessed 2016-06-14).

4. Predicting the hard keyword queries over relational databases;Kumar;Int. J. Appl. Eng. Res.,2015

5. Open issues in information retrieval system keyword queries over databases;Kumar;Int. J. Comput. Sci. Math. Eng.,2016

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Presenting a Model to Detect the Fraud in Banking using Smart Enabling Tools;International Journal of Engineering;2024

2. FACTORS INFLUENCING FRAUDULENT TRANSACTIONS FROM BIG DATA PERSPECTIVE;International Scientific Conference „Business and Management“;2023-05-11

3. Optimizing Big Data Implementation to Create Business Value and Architecture Proposed in the Banking Industry: A Systematic Review;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

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