Handling Data and Model Drift for World Application using Big Data-Reference-Cited by-同舟云学术

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Handling Data and Model Drift for World Application using Big Data

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)
language:
Short-container-title:

Author:

Singh Rajesh¹,Gehlot Anita¹,Daniel Shadrach Finney²,Prabu S.³,Nirmalan R⁴,Sunil Kumar V.⁵

Affiliation:

1. Uttaranchal Institute of Technology,Dehradun,India

2. KPR Institute of Engineering and Technology,Department of ECE,Coimbatore,India

3. Mahendra Institute of Technology,Department of ECE,Namakkal,India

4. Kalasalingam Academy of Research and Education,Department of CSE,Krishnankoil,India

5. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059457/10059586/10060693.pdf?arnumber=10060693

Reference18 articles.

1. Distributed classification for imbalanced big data in distributed environments

2. Traffic Signs Detection for Real-World Application of an Advanced Driving Assisting System Using Deep Learning

3. Dynamically updated diversified ensemble-based approach for handling concept drift

4. ADES: A New Ensemble Diversity-Based Approach for Handling Concept Drift

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1. Synergistic application of neuro-fuzzy mechanisms in advanced neural networks for real-time stream data flux mitigation;Soft Computing;2024-08-08

2. Smart Ration Distributor and Database Management;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01

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