Data Mining Applications In The Assessment Of Teaching

Data Mining is a frontier area in information and database technology, Association rule technology is one of the most important components of Data Mining and it can be used in detecting the meaningful relevance and associations between the item sets of mass data.This paper aims at studying the way of combining data mining technology with teaching appraisal and the way of looking for useful information hiding behind the data from the large amounts of data.In this paper firstly introduced the definition and several typical technologies of data mining, then gives its faculty structure and run course. Secondly mainly describe basic theory of association rule mining and classical mining algorithm Apriori including the algorithm of generate rules, then analyze the efficiency of algorithm Apriori. Secondly,the paper designs and elaborates the overall structure and the function of evaluation system,and designs the public registered module, the data acquisition module, the teacher overall assessment module and the statistical inquiry module in detail. Finally, this text inquires into the teaching quality evaluation data mining system and gives two kinds of solution based on the SQL Server. This text gives out the software frame of the system on teaching quality evaluation data mining, and uses correlated data to carry on the experiment of the association rule mining algorithm, and carries on its first step analysis on its results.The results obtained are valuable for collegeteaching evaluation.