Case feature series-parallel analysis method

An analysis method and feature string technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of serial-parallel result uncertainty, case feature uncertainty, etc., and achieve accurate serial-parallel analysis results. Effect

Active Publication Date: 2014-07-02
ANHUI XINHUABO INFORMATION TECH
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AI Technical Summary

Problems solved by technology

[0006] b. The features used for the combination of cases are extracted from the cases, so there is uncertainty in the characteristics of the cases, and there is also uncertainty in the results of the combination

Method used

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  • Case feature series-parallel analysis method

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Embodiment Construction

[0058] Such as Figure 1-4 As shown, an analysis method for stringing together case features includes the following steps:

[0059] (1) Score template setting for serial and parallel items

[0060] 1) Use primefaces, richfaces and standard jsf tag libraries to develop scoring template pages in jsf format, display the scoring template pages through browsers such as IE and firefox, and add, modify, and delete scoring templates;

[0061] 2) On this page, users can customize and set various templates, such as different crime methods and corresponding points, and then use javascript technology and ajax technology to transfer the data set by users on the page to the background java business layer through javabean for processing;

[0062] 3) In the java business layer, verify the incoming data and store it in the database;

[0063] 4) The scoring template for serial and parallel items is divided into two parts, the main item and the subsidiary item. Each main item and subsidiary it...

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Abstract

The invention discloses a case feature series-parallel analysis method. The method comprises the steps that series-parallel item scoring templates are set; a series-parallel case is selected, wherein a jsf label database checkbox assembly is used for selecting a case found and displayed on a list page, only one case is allowed to be selected, and follow-up series-parallel processing is conducted on the case; series-parallel conditions are set, wherein the minimum score and crime time are set; series-parallel analysis is conducted, wherein the oracle database storage process technology is used, the case number of the selected case is transmitted to a java service layer from the page through the javascript technology, then the data are transmitted to a java data layer from the java service layer, the oracle storage process is called for series-parallel analysis, and finally, a series-parallel result is output to the page to be displayed. According to the case feature series-parallel analysis method, series-parallel analysis is conducted on the case with the adoption of police business experience knowledge, and a more accurate series-parallel analysis result is obtained.

Description

technical field [0001] The present invention mainly relates to the technical field, and in particular relates to an analysis method for concatenation of case features. Background technique [0002] In the process of handling a case, the police usually encounter multiple cases of the same type committed by the same person or the same group. This kind of case is called a parallel case. As for the analysis of serial merger cases, the existing systematic analysis methods are not satisfactory, and they cannot string together the correct cases well. The present invention compares and scores the cases through the means and characteristics of criminal suspects, and finds similar cases. This analysis method uses the experience and knowledge accumulated by the police in daily case handling to string together cases. [0003] The existing invention is to extract the case features from these attributes according to the position of the feature points in the image, the words in the te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/26G06F17/30
Inventor 向士庭
Owner ANHUI XINHUABO INFORMATION TECH
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