Method and system for mining association rules of educational data based on item weight change
A technology of educational data and item weights, which is applied in the field of teaching, and can solve the problems of a large number of association modes, increasing the difficulty for users to choose the required mode, and not considering the importance of different courses.
Inactive Publication Date: 2017-04-12
GUANGXI COLLEGE OF EDUCATION
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Problems solved by technology
At present, the shortcomings of this method are: only the elective association of courses is considered when mining, and the different importance of courses is not considered, let alone the teaching effect of students after taking courses (that is, the test scores of courses)
The defect of the weighted association rule mining method for educational data is that it only considers the importance between courses, and does not consider the influence of course test scores.
The disadvantage of the existing fully weighted association rule mining method for educational data is that the number of association patterns it mines is still huge, which increases the difficulty for users to select the desired pattern, and there are still many boring, false and invalid association patterns, which is difficult Raise its technology to the application level
Method used
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[0088] Example: Table 2 is an example of a course item library, and Table 3 is an example of a student course information database for a student's elective course, that is, there are 5 course items, 5 student information records, and the achievement weights of each course item, where the achievement weights have been Perform normalization processing so that it is between 0 and 1, the grade of courses without electives is 0, and the grade of courses with full marks is 1.
[0089]
[0090] The present invention excavates the process of course association rule pattern to above-mentioned example as follows (parameter setting: ms =0.168, mc =0.75):
[0091] 1. Find the sum of the weights of all course items in the student course information database W =14.33.
[0092] 2. Mining course candidate 1_itemsets C 1 and frequent 1_itemsets L 1 ,As shown in Table 1.
[0093] Table 1:
[0094] C 1
w ( C 1 )
n 1
w p ( C 1 )
IWFB ( C 1 ,2)
...
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The invention relates to an item weight change based method and system for mining education data association rules. The item weight change based method for mining education data association rules comprises the following steps: utilizing an education data preprocessing module to preprocess, and establishing a course information base and a course project base; utilizing an education data course candidate itemset generation and pruning module to generate an education data course candidate itemset from the education information base, and adopting a new itemset pruning method to carry out itemset pruning; utilizing an education data course frequent itemset generation module to calculate an itemset weight of the candidate itemset, and comparing with the minimum weight frequent threshold to obtain a frequent itemset; utilizing an education data course association rule and result display model to generate all true subsets of the frequent itemset, and mining a course strong association rule mode by the simple calculation and comparison of the itemset weight to be displayed to users for use. The item weight change based method and system for mining education data association rules provided by the invention has the advantages that the course itemset pruning performance is good, the course candidate itemset and the mining time are obviously reduced, the mining efficiency is greatly improved, and the course association mode can provide a scientific basis for teaching reform and educational administration.
Description
technical field [0001] The invention belongs to the field of educational data mining, and specifically relates to a method for mining association rules of educational data based on changes in item weights and a mining system thereof, which is suitable for discovering educational data course association patterns, and its course association patterns can be used for teaching reform, education management, Decision-making provides a scientific basis. The invention has important application value and broad application prospects in the analysis of educational informationization data and the mining of educational data patterns. Background technique [0002] The existing educational data association rule mining methods can be summarized into the following three categories: educational data association pattern mining methods, educational data weighted association rule mining methods and educational data fully weighted association rule mining methods. The association rule mining method...
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IPC IPC(8): G06F17/30G06Q50/20
CPCG06F16/90G06Q50/205
Inventor 黄名选韦吉锋
Owner GUANGXI COLLEGE OF EDUCATION