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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2007.1
- 수록면
- 321 - 332 (12page)
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초록· 키워드
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The purpose of this study was to analyze on notational contents (winning and losing factor) of 2006 woman's Grand Slam tennis game(Wimbledon, Australia open, US open, France open). For this study, nineteen variables based on winning and losing factors (i.e. double faults, forced and unforced error, net approaches) were collected by two tennis experts, and the official statistics and multimedia simulating figures on 227 woman's single matches from Grand Slam tennis game were used to gather data for notational analysis. Answer tree analysis for data mining with the CHAID algorithm were performed and alpha was set at .05. The results are following that: It is most important factor that discriminates between winner and loser to winners points in every Grand Slam tennis game. If more than 16 winners point, players were classified about 90% into a winner. Receive point and unforced error are second factors categorizing winner and loser. Winner and loser were classified winners, receive points, unforced error, forced error in Wimbledon, Australia open, US open, and France open.
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