A method and system for finding targets based on multi-dimensional data collision

Abstract

The invention relates to a goal searching method and system based on multi-dimensional data collision. The method comprises the steps of: S1, acquiring call record information, and generating call record structured data; S2, selecting an area, presetting screening conditions respectively, and acquiring net bar information and hotel information satisfying the conditions in the area; S3, further inquiring internet information and hotel information, and comparing with the call record structured data to construct single-point thorough search result sets taking the selected area as a unit; S4, presetting screening conditions, and performing data comparison on all the single-point thorough search result sets to obtain a multi-point thorough search result set; and S5, outputting the multi-point thorough search result set, and screening suspected goals or repeating steps S2 to S4. Associated result sets can be obtained by time-space analysis or data comparison according to a specified rule via the net bar information, the hotel information and the call record information, thereby assisting policemen in discovering clues and screening suspected goals, and effectively improving the data analysis efficiency.

Description

technical field [0001] The invention relates to the field of informationized criminal investigation, and more specifically relates to a method and system for finding a target based on multi-dimensional data collision. Background technique [0002] With the rapid development of Internet technology, vehicle trajectory information, mobile phone call information, hotel accommodation information and Internet cafe access information can all be recorded. These data accumulate to form a large amount of data, making the investigation of suspected targets and the workload of finding clues. Extraordinarily large and complex. However, a large amount of these data are invalid. How to find useful clues to solve the case, quickly locate the suspected target, and improve the efficiency of investigation has become an urgent problem to be solved. [0003] In the existing technology, time-space analysis and numerical comparison are performed on the collected data according to the preset condi...

AI Technical Summary

Problems solved by technology

[0004] However, in the case of a huge amount of collected data and lack of real-time data, the efficiency and accuracy of data comparison and analysis will be greatly affected. This will undoubtedly become a bottleneck for finding suspicious targets based on multi-point mapping.

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