Advanced scout: Data mining and knowledge discovery in NBA data

被引:56
作者
Bhandari, I [1 ]
Colet, E [1 ]
Parker, J [1 ]
Pines, Z [1 ]
Pratap, R [1 ]
Ramanujam, K [1 ]
机构
[1] IBM Corp, TJ Watson Res Ctr, Armonk, NY 10504 USA
关键词
data mining; knowledge discovery; attribute focusing; basketball; NBA;
D O I
10.1023/A:1009782106822
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Advanced Scout is a PC-based data mining application used by National Basketball Association (NBA) coaching staffs to discover interesting patterns in basketball game data. We describe Advanced Scout software from the perspective of data mining and knowledge discovery. This paper highlights the pre-processing of raw data that the program performs, describes the data mining aspects of the software and how the interpretation of patterns supports the process of knowledge discovery. The underlying technique of attribute focusing as the basis of the algorithm is also described. The process of pattern interpretation is facilitated by allowing the user to relate patterns to video tape.
引用
收藏
页码:121 / 125
页数:5
相关论文
共 7 条
[1]   A CASE-STUDY OF SOFTWARE PROCESS IMPROVEMENT DURING DEVELOPMENT [J].
BHANDARI, I ;
HALLIDAY, M ;
TARVER, E ;
BROWN, D ;
CHAAR, J ;
CHILLAREGE, R .
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 1993, 19 (12) :1157-1170
[2]  
BHANDARI I, 1995, 20136 RC IBM TJ WATS
[3]  
CELKO J, 1995, DATAMATION, V41, P42
[4]  
Fayyad U. M., 1996, ADV KNOWLEDGE DISCOV, P1, DOI DOI 10.1609/AIMAG.V17I3.1230
[5]  
MCMURRAY S, 1995, US NEWS WORLD R 1211, P79
[6]  
Redman T. C., 1992, DATA QUALITY MANAGEM
[7]  
STERBA J, 1996, WALL STREET J 0322, P7