Studies on Predicting the Outcome of Professional Baseball Games with Data Mining Techniques: MLB as a Case
碩士 === 中國文化大學 === 資訊管理學系 === 101 === Professional baseball games emphasize data collection and analysis because each game provides plenty of data that needs to be analyzed. Data mining methods involve computer analysis techniques with which a crucial outcome can be found from a huge amount of data....
Main Authors: | Fong, Ruei-Shiang, 馮瑞祥 |
---|---|
Other Authors: | Hwang, Chein-Shung |
Format: | Others |
Language: | zh-TW |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/13879224135755534063 |
Similar Items
-
The Combination of Data Exploration and Business Intelligence in the Prediction Professional Baseball Competition - MLB as an Example
by: CHEN,CHUN-I, et al.
Published: (2019) -
The effect of baseball globalization on Taiwan professional baseball industry- A case study of MLB broadcasting.
by: Tai-Kun Weng, et al.
Published: (2009) -
The Valuation of Professional Baseball Team-Using MLB Cleveland Indians for an Example
by: Hao-Yu Lin, et al.
Published: (2006) -
Developing a Predictive Model-Based Discriminant Analysis for Anticipating Major League Baseball (MLB) Team’s Qualification for the Postseason Games
by: Sen-Pao Tung, et al.
Published: (2011) -
The Relationship between the Performance of Professional Baseball Clubs, City Size and the Decision to Replace General Managers – the case of MLB
by: HSU, EN-TSE, et al.
Published: (2018)