Traditional investigation mode is a mode with little technological content in information storage, extraction and analysis. The main means of traditional investigation is the investigation and interview, writing files of the query. The advantage of writing files to record information is high accuracy and stability, but it has two major shortcomings: one is difficult to extract; the second is that it can not provide direct information about the crime. The information analysis and research of traditional investigation mainly relies on the experience of investigators, and experienced investigators often become the key to whether or not the case is solved. In short, this model has low technological content and prominent sloppy features, whether or not the case can be solved depends mainly on the experience of the investigators and the amount of manpower invested, and not only that, but also depends on the luck of the investigators.
Business information-led investigation mode is led by information technology to business information storage, extraction and research and judgment based on the investigation mode. Information recording and storage is no longer completely dependent on the human brain and writing files, but electronic recording, storage devices have become the main way for humans to record and store information. As far as the operational information-led investigation model is concerned, its main features are: first, the structured databases accumulated by the investigative departments relying on public security platforms are mainly used for the verification and comparison of people, events and objects, and real-time crime information is still mainly collected manually. Second, information extraction remains difficult. Third, information analysis, research and judgment still rely mainly on the experience of investigators.
The big data-driven investigation model is built on the basis of big data and cloud computing platform, and is an upgrade of the information-led investigation model in the era of big data. First of all, the data-oriented ecology of crime is the realistic foundation of the big data-driven investigation model. The data-based ecology of crime has fundamentally changed the way of recording and storing criminal information, greatly expanding the "social memory", and big data technology will completely change the comparative relationship between investigation technology and crime technology. Secondly, in the era of big data, the data that investigations face and can handle are no longer small data, but big data. Third, big data technology can extract, analyze and judge crime information from massive data as well as predict the future.