Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm

Abstract

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.

Multi Model Establishment of Enterprise Case Aided Decision-making Based on Data Analysis

“…In formula (6), TP represents the number of positive examples of correct auxiliary decisionmaking, TN represents the number of negative cases of correct auxiliary decision-making, P represents the number of positive samples, N represents the number of negative samples. The classification accuracy higher of the Accuracy is, the better the decision-making effect of the multiple decision support models is.…”

“…Affected by the complex network environment, the difficulty of enterprise case decision-making is gradually increasing, which is not conducive to the comprehensive development of enterprises. Aided decision-making is a computer supported verification technology [4][5][6], which can make enterprise decisions quickly, stably and safely, and make the decision results meet different constraints. In the process of enterprise case aided decision making, the scheduling plan [7][8][9][10] can be implemented through computer simulation to correct the final decision result and support the decision-making scheme of the enterprise.…”

Relationship between Physical Training and Tactical Training in Sports Training Relying on Boosting and Bagging Algorithms

“…e results showed that the technical, physical, and functional readiness indicators of basketball referees in the experimental group were significantly improved [5]. Shao introduced the auxiliary decision support system for college students' physical training.…”

Application of association rule algorithm in intelligent manufacturing of mechanical manufacturing and automation specialty

“…Due to the vigorous development of industrial informatization and computer technology, more and more hardware enterprises are engaged in informatization management 1,2 , and the data collected by enterprises from production activities has shown an explosive rise, gradually forming "data covering the entire production process treasure house" 3,4 . However, because there are only simple statistical data analysis, enterprise statistical data collation, drawing, trend data analysis and other shallow management methods and applications in general enterprises 5,6 . Therefore, how to more efficiently manage and use these complex quality data management formed in the production and operation process of enterprises is an urgent problem to be solved in general enterprises 7,8 .…”