The Multi-Verse Optimization Algorithm using a Fuzzy Clustering Technique to Effectively Detect Frauds in Automobile-Reference-Cited by-同舟云学术

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The Multi-Verse Optimization Algorithm using a Fuzzy Clustering Technique to Effectively Detect Frauds in Automobile

Published:2023-11-24 Issue: Volume:21 Page:1-5
ISSN:
Container-title:2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)
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Author:

Reddy R Archana¹,Ramadan Ghazi Mohamad²,Ramesh Bhookya³,Sundaram S. Meenakshi⁴,Al-Jawahry Hassan M.⁵

Affiliation:

1. SR University,School of Computer Science and Artificial Intelligence,Warangal,Telangana,India

2. Ahl Al Bayt University,College of MLT,Karbala,Iraq

3. CMR Technical Campus,Department of CSE (Data Science),Hyderabad,India

4. Nitte Meenakshi Institute of Technology,Department of AI and DS,Bengaluru,India

5. The Islamic university,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420831/10420858/10421526.pdf?arnumber=10421526

Reference15 articles.

1. On the Cost-efficiency of Automobile Insurance Fraud Detection Methods: A Meta-analysis

2. Moving Vehicle Detection and Classification Using Gaussian Mixture Model and Ensemble Deep Learning Technique

3. A Performance Comparison of State-of-the-Art Imputation and Classification Strategies on Insurance Fraud Detection

4. A Systematic Review of Energy Management Strategies for Resource Allocation in the Cloud: Clustering, Optimization and Machine Learning

5. Improving Classification Performance in Credit Card Fraud Detection by Using New Data Augmentation

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