A study of predictive analysis through machine learning for data security-Reference-Cited by-同舟云学术

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A study of predictive analysis through machine learning for data security

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:SECOND INTERNATIONAL CONFERENCE ON INNOVATIONS IN SOFTWARE ARCHITECTURE AND COMPUTATIONAL SYSTEMS (ISACS 2022)
language:
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Author:

Jena Amrut Ranjan,Mishra Madhusmita,Singh Dharmpal,Dhar Moloy,Banik Mandira

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0166544

Reference22 articles.

1. N. Harth, C. Anagnostopoulos, and D. Pezaros. Predictive intelligence to the edge: impact on edge analytics in Evolving Systems, 9(2), 95–118 (2018).

2. U. Seebacher,. Predictive Intelligence at a Glance in Predictive Intelligence for Data-Driven Managers (pp. 11–19). Springer, Cham.) (2021).

3. Real‐Time Data and Predictive Analytics: Where Does IR Fit?

4. J. T. Senders, P. C. Staples, A. V. Karhade, M. M. Zaki, W. B. Gormley, M. L. Broekman, and O. Arnaout, Machine learning and neurosurgical outcome prediction: a systematic review in World neurosurgery, 109, 476–486 (2018).

5. Y. Shen, E. Mariconti, P. A. Vervier, and G. Stringhini. Tiresias: Predicting security events through deep learning in Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (pp. 592–605) (2018).

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1. Insurance Fraud Prediction: An analysis Using Supervised and Unsupervised Machine Learning;2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC);2023-12-14

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