Method and system for association and serialization of criminal cases based on clustering technology
A case and technology technology, applied in the field of criminal case correlation method and system, can solve the problems of data not having unique characteristics, low efficiency, low accuracy, etc.
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Embodiment 1
[0092] like figure 1 As shown, the present invention provides a kind of clustering technology-based criminal case correlation stringing method, comprising the following steps:
[0093] S1. Obtain high-dimensional and heterogeneous data type case data variables related to case correlation analysis;
[0094] 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;
[0095] S3. Using graph decomposition technology, decompose a graph converted from the similarity matrix into several connected subgraphs;
[0096] S4. Use a clustering algorithm to perform graph cutting calculations on connected subgraphs, and accurately group all cases;
[0097] S5. Extract the key feature parameters of each case group, and push the key feature parameters to the user according to the priority.
[0098] like figure 2 As shown, the analysis process of the criminal case corr...
Embodiment 2
[0165] Such as Figure 4 As shown, the present invention also provides a clustering technology-based criminal case correlation system, including:
[0166] The data variable acquisition module is used to acquire high-dimensional and heterogeneous data type case data variables related to case correlation analysis;
[0167] 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;
[0168] The graph decomposition module is used to decompose a graph converted from the similarity matrix into several connected subgraphs by using graph decomposition technology;
[0169] The clustering analysis module is used to perform graph cutting calculations using clustering algorithms on connected subgraphs, and accurately group all cases;
[0170] The feature extraction push module is used to extract the key feature param...
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