• DocumentCode
    1841822
  • 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
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    367
  • Lastpage
    370
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.104
  • Filename
    6643019