Systematic Review: Predictive Models for the Winning Team of Super Leagues (SL)-Reference-Cited by-同舟云学术

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Systematic Review: Predictive Models for the Winning Team of Super Leagues (SL)

Published:2023-03-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Business Analytics for Technology and Security (ICBATS)
language:
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Author:

Muneer Salman¹,Alvi Muhammad Bux²,Al Sakhnani Mahmoud³,Raza Hamamd⁴,Ghazal Taher M.⁵,Ahmad Munir⁶

Affiliation:

1. NCBA&E,School of Computer Science,Lahore,Pakistan

2. Applied Science Private University,Applied Science Research Center,Amman,Jordan,11937

3. The Islamia University of Bahawalpur,Department of Computer Systems Engineering,Bahawalpur,Pakistan

4. University City Sharjah,School of Business,Skyline University College,Sharjah,UAE,1797

5. National College of Business Administration & Economics,School of Computer Science,Lahore,Pakistan

6. Universiti Kebangsaan Malaysia (UKM),Center for Cyber Security,Faculty of Information Science and Technology,Bangi,Malaysia,43600

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111090/10111095/10111268.pdf?arnumber=10111268

Reference50 articles.

1. Increased Prediction Accuracy in the Game of Cricket Using Machine Learning

2. Using Machine Learning to Predict the Outcome ofEnglish County twenty over Cricket Matches;kampakis,2015

3. Predicting the outcome of om cricket matches: A team composition based approach;jhanwar;CEUR Workshop Proc,2016

4. Ongoing Match Prediction in T20 International;yasir,2017

5. Applications of Modern Classification Techniques to Predict the Outcome of ODI Cricket

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