Applying Machine Learning Techniques to Increase Real-Time Data Analysis Accuracy-Reference-Cited by-同舟云学术

Applying Machine Learning Techniques to Increase Real-Time Data Analysis Accuracy

Published:2023-12-07 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Emerging Research in Computational Science (ICERCS)
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Author:

Naval Preeti¹,T R Mahesh²,Kumar Ajay³,Dhingra Lovish⁴,V Janakiraman⁵,Banchhor Chitrakant O.⁶

Affiliation:

1. Maharishi University of Information Technology,Maharishi School of Engineering and Technology,Uttar Pradesh,India

2. JAIN (Deemed-to-be University),Faculty of Engineering and Technology,Department of Computer Science Engineering,Bangalore,Karnataka,India

3. Vivekananda Global University,Department of Computer Science & Engineering,Jaipur,India

4. Chitkara University Institute of Engineering and Technology, Chitkara University,Centre of Interdisciplinary Research in Business and Technology,Punjab,India

5. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Mechanical Engineering,Chennai,127

6. Vishwakarma Institute of Information Technology,Department of Computer Engineering,Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433896/10433898/10434228.pdf?arnumber=10434228

Reference16 articles.

1. Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques

2. Enhance-Net: An Approach to Boost the Performance of Deep Learning Model Based on Real-Time Medical Images

3. Big data analytics on social networks for real-time depression detection

4. Efficient analysis of COVID-19 clinical data using machine learning models

5. Renewable energy management in smart grids by using big data analytics and machine learning