Optimization Model of Physical Education Teaching Evaluation Based on Association Rule Algorithm
Guangpeng Ding · 2019
The method of association rule data mining is applied to college teaching. Data mining is carried out from teaching evaluation data to find out the relationship between classroom teaching effect and teacher's status. Mining association rule in large transaction databases plays an important role in solving practical problems in different fields. This dissertation focuses on the research of association rules algorithm and its application. In a better hardware and software environment and with the aid of some data in the real supermarket transaction database, the paper adopts Microsoft SQL Server 2005 and VB. NET is used as a development platform to build a simple association rule mining system and apply the BMSL algorithm to the generation of association rules. It is proved through the mining results that the algorithm did achieve a good digging effect.