The increase in the volume of structured and unstructured data related to more than just
sport events leads to the development and increased use of techniques that extract …

Predicting the results of matches in sport is a challenging and interesting task. In this paper,
we review a selection of studies from 1996 to 2019 that used machine learning for predicting …

In the recent years, sports outcome prediction has gained popularity, as demonstrated by
massive financial transactions in sports betting. One of the world's popular sports that lures …

To contain the environmental impact of modern buildings it is necessary to design in a
sustainable way, making efficient use of energy resources and raw materials. The reduction …

Performance prediction is an issue of vital importance in many real managerial applications.
This paper will propose a prediction approach for sports team performance based on data …

We introduce a forecasting system designed to profit from sports-betting market using
machine learning. We contribute three main novel ingredients. First, previous attempts to …

Player selection is one the most important tasks for any sport and cricket is no exception.
The performance of the players depends on various factors such as the opposition team, the …

Injuries are a common occurrence in team sports and can have significant financial, physical
and psychological consequences for athletes and their sporting organizations. As such, an …

This study aimed to (1) use the clustering method to build a classification model based on
the play-type data of basketball players, to classify native and foreign players into different …

Baseball is a statistically filled sport, and predicting the winner of a particular Major League
Baseball (MLB) game is an interesting and challenging task. Up to now, there is no definitive …