Prognosticate Trending Days of Youtube Videos Tags Using K-Nearest Neighbor Algorithm-Reference-Cited by-同舟云学术

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Prognosticate Trending Days of Youtube Videos Tags Using K-Nearest Neighbor Algorithm

Published:2022-11-01 Issue: Volume: Page:
ISSN:
Container-title:2022 5th Information Technology for Education and Development (ITED)
language:
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Author:

Olukumoro S. Olugbenga¹,Adenusi Cecilia Ajowho²,Ofoegbunam Emmanuel Izuchukwu³,Josephine Oguns Yetunde⁴,Abayomi Opakunle Victor⁵

Affiliation:

1. Yaba College of Technology,Department of Computer Technology,Lagos State,Nigeria

2. Linux Professional Institute Nigeria Master Affiliate, UI,Ibadan,Oyo State,Nigeria

3. Federal School of Surveying,Department of Computer Science,Oyo,Oyo State,Nigeria

4. The Polytechnic Ibadan,Department of Computer Science,Ibadan,Oyo State,Nigeria

5. Federal University of Agriculture,Abeokuta,Ogun State,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051167/10051171/10051460.pdf?arnumber=10051460

Reference21 articles.

1. Predicting Consumer Avoidance of Native Advertising on Social Networking Sites: A Survey of Facebook Users

2. Optimizing Prediction of YouTube Video Popularity Using XGBoost. Electronics 2021, 10, 2962;nisa;Optimizing Prediction of YouTube Video Popularity Using XGBoost Electronics,2021

3. Learning k for kNN Classification

4. Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction

5. Real-Time Twitter Trend Analysis Using Big Data Analytics and Machine Learning Techniques

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