[HTML][HTML] Real-world data difficulty estimation with the use of entropy

P Juszczuk, J Kozak, G Dziczkowski, S Głowania… - Entropy, 2021 - mdpi.com
In the era of the Internet of Things and big data, we are faced with the management of a
flood of information. The complexity and amount of data presented to the decision-maker are …

New voting schemas for heterogeneous ensemble of classifiers in the problem of football results prediction

S Głowania, J Kozak, P Juszczuk - Procedia Computer Science, 2022 - Elsevier
Sports events attract a lot of attention and are an exciting playground for testing various
machine learning methods. However, the non-consistency of data, the necessity of including …

Understanding the Acceptance of Smartwatch Application on Football Players as a Performance Monitoring Tools

TLM Suryanto, NC Wibowo, A Afandi… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
Football is a favorite sport in Indonesia. According to a survey institute in Indonesia, almost
50% of the Indonesian population chooses football as the most popular sport. Unfortunately …

Machine Learning for Football Matches and Tournaments

M Vashist, V Bahl, N Sengar… - … Conference on Machine …, 2022 - ieeexplore.ieee.org
The excitement of predicting the result of a football game and support for their favourite clubs
has brought all the sports enthusiasts together to develop platforms around it. Given the …

Small Sided Games Training Model to Improve Basic First Touch Football Technical Skills of Football School Students

AN Putra, E Edmizal, I Wulandari… - Journal for Lesson …, 2024 - ejournal.undiksha.ac.id
Training modification is an important strategy in sports training to improve athlete
performance, and in the context of football, SSG is one promising method. Therefore, this …

[HTML][HTML] Knowledge Discovery in Databases for a Football Match Result

S Głowania, J Kozak, P Juszczuk - Electronics, 2023 - mdpi.com
The analysis of sports data and the possibility of using machine learning in the prediction of
sports results is an increasingly popular topic of research and application. The main …

Dimensionality reduction for real sports data from the German Bundesliga and English Premier League

S Głowania, J Kozak, P Juszczuk - Procedia Computer Science, 2023 - Elsevier
Recently, sports performance forecasting has become a topic of great interest among both
researchers and practitioners. The goal of such forecasts is not only to better understand the …

Goal-Oriented Classification of Football Results

S Głowania, J Kozak, P Juszczuk - International Conference on …, 2023 - Springer
In this article, we propose identifying and analyzing the problem of relatively poor
classification results related to a single decision class in sports data. First, we preprocess the …

Leveraging Machine Learning Algorithms for Football Predictions and Wager Suggestions

S Gudla, BST Gabbita, N Chaganti… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Growing public interest in football, particularly in the wake of the recent world cup, has had
an impact not just on people's desire to watch the game, but also on the different analytics …

Técnicas y algoritmos para predecir el resultado de los partidos de fútbol utilizando la minería de datos, una revisión de la literatura

A Araujo-Ahon, B Cardenas-Mayta… - 2023 - repositorio.autonoma.edu.pe
El resultado de un deporte se ha convertido en una necesidad para los competidores, así
como para los fanáticos que siguen a sus equipos favoritos. Sin embargo, la predicción de …