Statistical analysis of baseball has long been popular, albeit only in limited capacity until
relatively recently. In particular, analysts can now apply machine learning algorithms to large …

Purpose Predictive analytics and artificial intelligence are perceived as significant drivers to
improve organizational performance and managerial decision-making. Hiring employees …

(1) Background and Objective: Major League Baseball (MLB) is one of the most popular
international sport events worldwide. Many people are very interest in the related activities …

Each year, major league baseball (MLB) teams face complex decisions about which players
to retain and which players to recruit. In addition to operational, team and budget constraints …

Sports game prediction using machine learning techniques has gained much attention in the
sports industry. Notably, this task is vital for sports-related fields, such as sports marketing …

Drafted baseball players typically begin their professional baseball career with Minor
League teams and are not guaranteed opportunities in the Major League. Accurate …

[EN] This doctoral thesis focuses on studying, implementing, and applying machine learning
and multivariate statistics techniques in the emerging field of sports analytics, specifically in …

In the present time, MLB-Major League Baseball is a professional biggest sporting event at
international level. And the researchers are very much keen about the prediction of results in …

Abstract Major League Baseball (MLB) has a competitive imbalance among teams, which
has been compounded by free agency. Free agency is an auction model not designed for …

[Purpose] The main purpose of this current study is two-fold. Firstly, it attempts to develop a
model to determine the true market value of Korean professional baseball players (hitters …