Application Of Data Mining In Examination Questions Bank And Automatic Test Paper

With the rapid development of computer technology,computer assisted instruction(CAI)has been further used.Examination questions bank and automatic group volume is an important part of the computer aided teaching.According to the examination questions bank for automatic group volume which is based on the exam and stored in the database by a specific group of volume algorithm,teachers can automatic or semi-automatic compose a complete test paper.So it can greatly reduce the teacher's group of roll pressure,at the same time can improve the efficiency of the set of volumes and guarantee the quality of test paper.This article is to analysis and study the construction of the library system and how to efficiently implement automatic group volume.Based on volume algorithm on the basis of comparing different group,the Apriori algorithm of data mining are analyzed in the automatic group volume problem of unique advantages.This improved Apriori algorithm is proposed by means of improved iterative.Increasing the "memory" of the algorithm performance can greatly accelerate the algorithm convergence speed and make the algorithm after improvement,which not only can efficiently implement group volume,but also can enhance the group volume system generality.Finally,due to the time and the limitation of the experiment condition and development experience,the thesis involves the system of examination questions just standardization sample test questions,from practical application there is a big gap,especially for subjective question mark and multimedia questions.There are many problems unsolved and the system also has some drawbacks,which will gradually be improved in subsequent research work in the future.