A machine learning approach for imputation and anomaly detection in IoT environment-Reference-Cited by-同舟云学术

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A machine learning approach for imputation and anomaly detection in IoT environment

Published:2020-04-13 Issue:5 Volume:37 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Vangipuram Radhakrishna¹^ORCID,Gunupudi Rajesh Kumar¹^ORCID,Puligadda Veereswara Kumar²,Vinjamuri Janaki³

Affiliation:

1. Department of Information Technology VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad Telangana India

2. Department of CSE Acharya Institute of Technology Bangalore Karnataka India

3. Department of CSE Vaagdevi College of Engineering Warangal Telangana India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12556

Reference50 articles.

1. Secure Edge of Things for Smart Healthcare Surveillance Framework

2. Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection

3. Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model

4. Aljawarneh S. Radhakrishna V. &Reddy G. S.(2018).Mantra: A novel imputation measure for disease classification and prediction. In Proceedings of the first international conference on data science e‐learning and information systems (pp. 25:1–25:5). New York NY: ACM. Retrieved fromhttp://doi.acm.org/10.1145/3279996.3280021doi:https://doi.org/10.1145/3279996.3280021

5. Ultimate: Unearthing Latent Time Profiled Temporal Associations

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