PAACDA: Comprehensive Data Corruption Detection Algorithm-Reference-Cited by-同舟云学术

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PAACDA: Comprehensive Data Corruption Detection Algorithm

Published:2023 Issue: Volume:11 Page:24908-24934
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bannur Charvi¹^ORCID,Bhat Chaitra¹,Singh Kushagra¹,Kulkarni Shrirang Ambaji²^ORCID,Doddamani Mrityunjay³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, People’s Education Society, Bengaluru, India

2. Department of Computer Science and Engineering, National Institute of Engineering, Mysore, India

3. School of Mechanical and Materials Engineering, Indian Institute of Technology—Mandi, Mandi, Himachal Pradesh, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10058962.pdf?arnumber=10058962

Reference136 articles.

1. COPOD: Copula-Based Outlier Detection

2. A Clustering Method Based on K-Means Algorithm

3. ECOD: Unsupervised outlier detection using empirical cumulative distribution functions;li;IEEE Trans Knowl Data Eng,2022

4. An Outlier Detection Method Based on Clustering

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