In this paper a weighted complex network is used to detect communities of basketball
players on the basis of their performances. A sparsification procedure to remove weak …

Sports behavior uncertainty is a main cause of mismatch between simulated and actual
visual comfort in sports spaces, which has not been properly addressed in existing studies …

With the rapid growth of information technology and sports, a large amount of sports social
network data has emerged. Sports social network data contains rich entity information about …

This paper proposes tools for spatial performance analysis in basketball. In detail, we aim at
representing maps of the court visualizing areas with different levels of scoring probability of …

Improvements in tracking technology through optical and computer vision systems have
enabled a greater understanding of the movement-based behaviour of multiple agents …

Statistics in sports plays a key role in predicting winning strategies and providing objective
performance indicators. Despite the growing interest in recent years in using statistical …

In a close game of basketball, victory or defeat can depend on a single shot. Being able to
identify the best player and play scenario for a given opponent's defense can increase the …

The Apriori algorithm is used to conduct an in‐depth analysis and research on the
relationship between data mining and penalty decision of multiattribute data in the …

Measuring players' and teams' shooting performance in the basketball court can give
important information aimed to the definition of both game strategies and personalized …

In this contribution, we investigate the importance of Oliver's Four Factors, proposed in the
literature to identify a basketball team's strengths and weaknesses in terms of shooting …