Design and Implementation of Targeted Person Holographic Archive System based on Apriori Algorithm

Abstract

With the popularization of big data, public security organs are facing problems such as incomplete information collection, difficulty in fusion of multi-source heterogeneous data, and poor data association collected by front-end sensing devices in the management and control of targeted person. Combining the current situation and needs of public security management, this paper analyzes the targeted person's full-element information based on the Apriori association rule algorithm to conduct frequent item mining on the targeted person's attribute characteristics and behavior characteristics, which can effectively identify the abnormal behavior of targeted person and obtain deduction information, and finally implements a holographic archive system based on JavaEE design that can completely describe the targeted person. Its main functions include add files, file details, advanced search, “my focus”, “my supplement” and “my search”. After testing, the various functions of the system are operating well, which is conducive to the public security organs in real-time grasp of targeted person's basic information, social information, behavior information and other full-element information.