期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：5
页码：2156-2162
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In sports science, the data collected from field sensors, wearable inertial sensors and social media i.e., twitter (live tweets) are used to derive the performance of the games. Sensors and Twitter provides huge amount of data. We are doing analysis on three data set i.e., field sensor data, inertial sensor data and twitter data. The historical data of field sensor and inertial sensor are collected for the performance analysis. The analysis of twitter data that is live tweets from the twitter users during the game or after the game. The three different data set analysis gives the three different patterns. Finally, the three different patterns are combined using a contrast set mining algorithm based on players and game history of performance to give one predicted solution. This paper describes the performance analysis of individual player or team in the games using contrast set mining algorithm that establishes the relationship between field sensor data, inertial sensor data and twitter data. Finally the predictive results will be obtained in the visual form.
关键词：Contrast-set mining; data mining; inertial ; sensor data; field sensor data; twitter data; predictive ; analysis.
