Criminal case association series-parallel method and system based on clustering technology
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A case and technology technology, which is applied in the field of criminal cases related serialization methods and systems, and can solve the problems of non-unique data, low efficiency, and low accuracy.
Inactive Publication Date: 2017-08-25
广州可度析信息科技有限公司
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[0005] The second type of data does not have unique characteristics and can only describe the possibility (size)
The efficiency and accuracy of this type of manual operation is not high
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Embodiment 1
[0090] like figure 1 As shown, the present invention provides a kind of clustering technology-based criminal case correlation stringing method, comprising the following steps:
[0091] S1. Obtain high-dimensional and heterogeneous data type case data variables related to case correlation analysis;
[0092] S2. Establish a similarity model describing the degree of case correlation according to the case data variables, and calculate a similarity matrix according to the similarity model;
[0093] S3. Using graph decomposition technology, decompose a graph converted from the similarity matrix into several connected subgraphs;
[0094] S4. Use a clustering algorithm to perform graph cutting calculations on connected subgraphs, and accurately group all cases;
[0095] S5. Extract the key feature parameters of each case group, and push the key feature parameters to the user according to the priority.
[0096] like figure 2 As shown, the analysis process of the criminal case corr...
Embodiment 2
[0161] like Figure 4 As shown, the present invention also provides a clustering technology-based criminal case correlation system, including:
[0162] The data variable acquisition module is used to acquire high-dimensional and heterogeneous data type case data variables related to case correlation analysis;
[0163] The similarity matrix calculation module is used to establish a similarity model describing the degree of case correlation according to the case data variables, and calculate the similarity matrix according to the similarity model;
[0164] The graph decomposition module is used to decompose a graph converted from the similarity matrix into several connected subgraphs by using graph decomposition technology;
[0165] The clustering analysis module is used to perform graph cutting calculations using clustering algorithms on connected subgraphs, and accurately group all cases;
[0166] The feature extraction push module is used to extract the key feature paramete...
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Abstract
The invention discloses a criminal case association series-parallel method and system based on the clustering technology. The method comprises steps that S1, high-dimension heterogeneous data type case data variables related to case association series-parallel analysis are acquired; S2, a similarity model for describing a case association degree is established according to the case data variables, and a similarity matrix is calculated according to the similarity model; S3, a graph converted from the similarity matrix is decomposed to be multiple communicated sub graphs through utilizing the graph decomposition technology; S4, a clustering algorithm is utilized to carry out graph cutting calculation of the communicated sub graphs, and all the cases are accurately grouped; and S5, key characteristic parameters of each case group are extracted, and the key characteristic parameters are pushed to users according to priorities. The method is advantaged in that not only can data having a clear and unique characteristic be processed, but also data having the possibility characteristic can be further processed, criminal case association series-parallel efficiency is substantially improved, and high accuracy is realized.
Description
technical field [0001] The present invention relates to the technical field of investigation and case solving, in particular to a clustering technology-based method and system for correlating and merging criminal cases. Background technique [0002] The serial and parallel correlation analysis of gang-type and serial crime cases is an important part of the criminal case law enforcement department's investigation and case-solving work. By analyzing and extracting common points between multiple cases and connecting key information, law enforcement agencies can broaden their investigation horizons; combining series of cases for investigation can significantly reduce law enforcement costs, increase the depth and breadth of crime fighting, and enhance overall work efficiency. [0003] With the development of informatization in the whole society, criminal law enforcement agencies have established a computer management system for criminal cases and accumulated a large amount of cri...
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