Application Of APRIORI Algorithm In The Allocation Of Teaching Resouces

The large amount of college students and various courses,have led to some difficulties in optimizing the allocation of teaching resources.For each student,there exists great correlation in the grades of his subjects,and this correlation,somehow,is correspondingly reflecting obvious diversity due to the different schools and departments.For such correlation and differences,Apriori algorithm combined with cloud computing will make analysis and the research more efficient,thus an optimal allocation in teaching resources aiming at a certain school or department will be obtained.View from the traditional data mining algorithms,they can sum up the correlation in various disciplines in a group,but because the algorithm itself can not achieve fast and accurate regression in nonlinear aspects,and the calculation takes a little more time,and occasionally encounter difficulty to converge,so the performance in practical applications is not very good.Therefore,aiming at the above problems : Use MPM methods which is commonly applied in materials and computing learning to improve the convergence speed and accuracy of computing.It takes each data point as a particle,and the Lagrange method in MPM does well in particle’s route tracing,avoiding unnecessary iteration,reducing data dissipation and improving the accuracy of calculation.Euler’s method initially divides the background grid in MPM,calculates the background grid of the data points,and then re-projects the calculation results to the data points to eliminate the difference in unit calculation.Therefore,the Apriori algorithm will be improved based on this,it efficiently digs some regular courses and other computer related teaching’s correlation with professional teaching,in order to offer some advice on feasible degree is very high,make the teaching management and curriculum can reach high quality,at the same time to enhance the quality of teaching.The improved Apriori algorithm finds the correlation between courses,it can make educators assign the sequence of courses and the corresponding relationship between each knowledge in a more reasonable way,and provide students with more efficient and beneficial help and guide;More importantly,if we want to obtain the data information of the next set of nodes in the mining task,we will only need to update the parameters of some nodes in the improved Apriori algorithm,so the query efficiency of data and resources is greatly improved.