Title :
Research and Application of Data Mining Based on RoboCup Soccer Logs
Author :
Cheng Ze-Kai ; Liu Qian ; Qin Feng
Author_Institution :
Aritificial Intell. Res. Lab., Anhui Univ. of Technol., Maanshan, China
Abstract :
RoboCup is an international academic competition which has seen a rapid development in recent years. Generally, developers use the way of engineering to develop a team but ignore the log files of RoboCup Soccer. Data mining is used for knowledge discovering from mass data. In this paper, the method of Data Mining based on the log files will be used to design the initiative moving strategy. The results showed that the improved initiative moving strategy was successful and the way of using Data Mining method to analyze log files could improve the efficiency of development.
Keywords :
data mining; file organisation; mobile robots; multi-robot systems; sport; RoboCup soccer logs; data mining method; initiative moving strategy; knowledge discovery; log file analysis; mass data; Data mining; Data models; Data preprocessing; Educational institutions; Games; Knowledge representation; Market research; RoboCup; data mining; log files; sequential pattern initiative moves;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.104
