双数组穷举法挖掘医药销售数据库频繁集

为了挖掘医药销售数据库频繁集,采用双数组穷举算法DAEA。该算法主要使用两个数组和穷举算法,实现挖掘医药销售数据库的频繁集功能。该算法的优点是只需对医药销售数据库进行数据预处理就可以直接挖掘该数据库的频繁集,无需把医药销售数据库转换成相应的事务数据库。根据DAEA算法,开发了医药销售数据库频繁集挖掘系统,使用该系统挖掘医药销售数据库的频繁集,挖掘的结果与实际相吻合,说明该算法是可行的和有效的。

Mining of Frequent Itemsets of Medicine Sale Database Using DoubleArray and Exhaust Algorithm

The double array and exhaust algorithm （DAEA） is adopted to mine frequent itemsets of medicine sale database. The function of mining medicine sale database frequent itemsets is accomplished by the algorithm which mainly uses two arrays and exhaust algorithm. The advantages of this algorithm is that the frequent itemsets of the medicine sale database can be directly mined only by the data preproeessing of the medicine sales database but there is no necessity to convert the relevant transaction database into the corresponding transaction database. The mining system of medicine sale database frequent itemsets was developed on the basis of DAEA. This system was successfully used to mine the frequent itemsets of medicine sales database. The results is identical with the actual one. The experimental results demonstrate that it is feasible and effective.