Data Mining in The NBA: An Applied Approach

被引：0
|
作者：
Hewko, Jordan [1 ]
Sullivan, Robert [1 ]
Reige, Shaun [1 ]
El-Hajj, Mohamad [1 ]
机构：
[1] MacEwan Univ, Dept Comp Sci, Edmonton, AB, Canada
来源：
2019 IEEE 10TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON) | 2019年
关键词：
Sport; NBA; Data Mining; Association Rules; Naive Bayes; Decision Trees;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work aims to analyze the last 6 years of professional basketball data using knowledge discovery tools. The goal is to outline some insight into how teams win and what separates these winning teams from the losing teams. Using Microsoft SQL Server Management Studio, Microsoft Business Intelligence, R and PowerBl, we analyzed regular season game data to find previously unknown trends between winning and losing teams. Using decision trees, naive Bayes and association rules, we will look at defensive and offensive data between teams. The following stats are considered: defensive and offensive rebounds, blocks, steals, turnovers, 2 point shot percentage and 3 point shot percentage. Results show that teams who earn more defensive rebounds win more games while teams that earn higher than average offensive rebounds lose more games. This is because teams that get more offensive rebounds are missing more of their shots.
引用
收藏
页码：426 / 432
页数：7
相关论文
共 50 条
  • [31] Predicting OSS Development Success: A Data Mining Approach
    Raja, Uzma
    Tretter, Marietta J.
    INTERNATIONAL JOURNAL OF INFORMATION SYSTEM MODELING AND DESIGN, 2011, 2 (04) : 27 - 48
  • [32] Mass customization of travel packages: data mining approach
    Bashar Al-Salim
    International Journal of Flexible Manufacturing Systems, 2007, 19 : 612 - 624
  • [33] Customer churn prediction using data mining approach
    Qaisi, Laila M.
    Rodan, Ali
    Qaddoum, Kefaya
    Al-Sayyed, Rizik
    2018 FIFTH HCT INFORMATION TECHNOLOGY TRENDS (ITT): EMERGING TECHNOLOGIES FOR ARTIFICIAL INTELLIGENCE, 2018, : 348 - 352
  • [34] Mass customization of travel packages: data mining approach
    Al-Salim, Bashar
    INTERNATIONAL JOURNAL OF FLEXIBLE MANUFACTURING SYSTEMS, 2007, 19 (04): : 612 - 624
  • [35] Complex Analysis of United States Flight Data Using a Data Mining Approach
    Baluch, Megan
    Bergstra, Tristan
    El-Hajj, Mohamad
    2017 IEEE 7TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE IEEE CCWC-2017, 2017,
  • [36] Using Data Mining to Teach Applied Statistics and Correlation
    Hartnett, Jessica L.
    TEACHING OF PSYCHOLOGY, 2016, 43 (02) : 142 - 146
  • [37] APPLIED RESEARCH ON VISUAL MINING TECHNOLOGY IN MEDICAL DATA
    Wu, Chunshan
    Weng, Yongqiang
    Jiang, Qiaowei
    Guo, Wenming
    Wang, Cong
    PROCEEDINGS OF 2016 4TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (IEEE CCIS 2016), 2016, : 229 - 233
  • [38] PRACTICAL DATA MINING APPLIED IN STEEL COILS MANUFACTURING
    Bilbao, Imanol
    Bilbao, Javier
    Feniser, Cristina
    Borsa, Andrei
    ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING, 2020, 63 (03): : 287 - 296
  • [39] Data Mining applied to the navigation task in autonomous robots
    Scatambulo Costa, Carlos Fransley
    Franciscon, Eduardo Alexandre
    2020 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), 2020, : 1100 - 1105
  • [40] The research on fuzzy data mining applied on browser records
    Chen, QZ
    Han, JH
    Lai, YG
    He, WX
    Mao, KJ
    ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS, 2005, 3584 : 527 - 535
12345