基于扩展关联挖掘的专网通信计费检索算法

Based on Extended the Private Network Communication Association Mining Billing Retrieval Algorithm

针对专网通信计费系统中,由于互联信息存在大量的冗余特征,导致大幅降低了数据联系特征属性,使得计费信息查询效率较低的问题。本文提出一种改进关联规则的专网通信计费分析数据的挖掘算法。通过计费数据属性扩展算法,对计费数据属性间的关联性进行扩展,有效排除冗余数据的干扰,增强数据间的联系性。实验与仿真结果证明,这种算法能够有效地消除冗余数据的干扰,计费数据查询的准确率较高,耗时降低。

For private network communication billing system,Internet information there are a number of redundant features,sharply reduced data contact feature attribute,makes the billing information query the problem of low efficiency.Puts forward an improved the private network communication association rule mining algorithm analysis of data pricing.Through the billing data attributes expand algorithm to billing data attributes of the relationship between the expansion,effectively ruled out redundant data interference,strengthen between the data item.The experiment and simulation show this algorithm can effectively eliminate redundant data interference,billing data for the accuracy is higher,reduce time consuming