改进的Apriori算法在贫困助学体系中的应用
首发时间:2010-12-16
摘要:随着高校贫困生人数的不断增加,学校管理部门资助工作难度也越加增大。针对这一现象,提出一种基于数据挖掘算法的解决方法。将关联规则的Apriori算法应用到贫困助学体系中,并且针对经典Apriori挖掘算法存在的不足进行改进,先将事务数据库映射为一个布尔矩阵,用一种逐层递增的思想来动态的分配内存进行存储,再利用向量求"与"运算,寻找频繁项集。实验结果表明,改进后的Apriori算法在运行效率上有了很大的提升,挖掘出的规则也可以有效地辅助学校管理部门有针对性的开展贫困助学工作。
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The Application of Improved Apriori Algorithm in systerm of impoverished student
Abstract:In this paper,data mining technology is proposed to resolve the problem that the college's financing work is becoming more and more difficulty with the increasing number of impoverished student.Apriori algorithm is applied to the systerm of poverty funded and aiming at it's shortage,a improved Apriori algorithm is proposed.At first,the transaction database was becomed a mapped matrix,then the matrix was store by the way of layered allocate memory.At last frequence itemsets was finded by AND operation. The result show that the improved algorithm is more efficient,and the association rule is helpful for the department of management to make decision.
Keywords: Date mining Association rulesey Apriori algorithm impoverished student
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