Title :
Rowing data analysis based on time series pattern
Author :
Li Guangjun ; Liu Juan
Author_Institution :
Sch. of Comput., Wuhan Univ., Wuhan, China
Abstract :
This paper analyzed the association between the different training items of athletes in different time segments during training in the method of time series data analysis, and found that, the rise of 3km running achievement would result in the rise of 6 km ergometer training achievement and vice versa for female racing boat athletes; in the water endurance training, the rise of long-distance achievement would result in the fall of middle-distance achievement, and the rise of middle-distance achievement would result in the fall of short distance achievement; the achievements on water long-distance and short-distance training promote each other, etc. This analysis result can be used for coaches to stipulate a scientific training method to raise the racing achievement.
Keywords :
data analysis; data mining; pattern classification; sport; time series; training; assosiation rule; athletes training items; ergometer training achievement; female racing boat athletes; long-distance achievement; middle-distance achievement; racing achievement; rowing data analysis; running achievement; scientific training method; short distance achievement; short-distance training; time segments; time series data analysis; time series pattern; water endurance training; water long-distance training; Association rules; Boats; Testing; Time series analysis; Training; Training data; association rule; rowing; sport training; time series;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6020020