Data Mining Analysis of Moving Object Based on Apriori Algorithm

Abstract:

At present, under the background of reform in university physical education, the sports community constantly makes innovations of ways and means of study to improve the ways of education, how to analyze the teaching methods, this is the key issue needed to be focused on. During table tennis teaching, comparative analysis is based on the traditional test to study the effectiveness of teaching and take further measures, this process needs to choose specific objects to have the training in specific time and compare the results before and after testing, the manpower and material resources required is large and it is time-consuming, the article uses the improved Apriori algorithm, uses data mining technology to have systematic analysis of representative sample of data of Table Tennis teaching, and through the formation of a series strong association rules data to have compared analysis, in this way it can have effective analysis of teaching data for table tennis teaching, and give technical support to the classification management, at the same time it provides a reasonable, effective and directional data and suggestions for table tennis teaching .

• Periodical: Applied Mechanics and Materials (Volumes 608-609)
• Pages: 221-225
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.608-609.221
• Online since: October 2014
• Authors: Jin Li Yang*, Yong Ting Xu
• Keywords: Apriori Algorithm, Association Rule, Data Mining (DM), Expert System, Pattern Recognition, Simulation Analysis

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