Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm
Author(s) -
L Shao
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/5561970
Subject(s) - computer science , association rule learning , apriori algorithm , training (meteorology) , amateur sports , association (psychology) , amateur , plan (archaeology) , decision support system , machine learning , training system , artificial intelligence , data mining , philosophy , physics , archaeology , epistemology , meteorology , political science , law , economics , history , economic growth
In my country, college students’ physical exercise is mainly through physical exercise and amateur sports, which is basically in a state of disorder. Based on the improved association rules, this paper introduces the auxiliary decision support system for college students’ sports training. First, we introduced a network security method and designed a sports training decision support system based on network security. Secondly, based on the Apriori algorithm, we have realized the organic integration of all aspects of college students’ sports, applied scientific training theories and advanced training methods to the management of college students’ sports training, and generated new knowledge rules through data mining technology, enriching knowledge. Finally, according to user input, select the corresponding model and combine with the rules in the knowledge base to generate a reasonable exercise training plan. After model simulation and example verification, the sports training decision support system based on the improved association rule prior algorithm designed in this paper has good applicability and efficiency.
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