大数据背景下Visual FoxPro实现关联规则挖掘算法研究

Research on Visual FoxPro Implementation of Association Rules Mining Algorithm in Big Data Background

随着信息技术的快速发展,各行业都在使用数字化设备采集和管理用户活动信息,且信息量呈现出爆炸式增长,当今世界也随之进入了大数据时代.在大数据背景下,许多管理信息系统仍在使用Visual FoxPro收集和管理数据,此外,尚有许多平台收集的数据没有被利用,而处于闲置状态.因此,为把这些闲置的数据利用起来为各行业服务,对使用Visual FoxPro实现关联规则挖掘算法进行分析研究.结果显示,自编程序实现的关联规则挖掘结果与手工推导结果完全一致,从而验证了算法的正确性.

With the development of computer and information technology,all industries are using digital devices to collect and manage user activity information and the amount of information collected increases rapidly,along with which the world enters the“big data”era.In the context of the big data era,Visual FoxPro is still used by many management information systems to collect and manage the data which are not put into use but in an idle state.In order to utilize the idle data for the management and development of various industries,Visual FoxPro is used to implement the association rule mining algorithm.The results of association rules mining implemented by self-programming are completely consistent with the results of manual derivation,which verifies the correctness of the algorithm.