Artificial intelligence-based risk area analysis method and device thereof, equipment and medium
A risk area and analysis method technology, applied in the field of computer-readable storage media and risk area analysis, can solve problems such as inaccurate positioning, achieve the effect of increasing rationality and solving low accuracy
Pending Publication Date: 2022-02-15
CHINA PING AN PROPERTY INSURANCE CO LTD
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[0004] The present invention provides an artificial intelligence-based risk area analysis method, device and computer-readable storage medium, the main purpose of which is to solve the problem of inaccurate positioning when locating risk-intensive areas
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[0064] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0065] An embodiment of the present application provides an artificial intelligence-based risk area analysis method. The subject of execution of the artificial intelligence-based risk area analysis method includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the risk area analysis method based on artificial intelligence can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server can be an independent server, or it can provide cloud servi...
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The invention relates to an artificial intelligence technology, and discloses an artificial intelligence-based risk area analysis method, which comprises the following steps of: partitioning a historical event data set to obtain an event data partition set; utilizing a clustering model to extract a reachable distance characteristic value in a target data partition in the event data partition set; constructing a minimum spanning tree for each core event point to obtain the minimum spanning tree, and adaptively merging the clusters defined by each edge according to a union search set algorithm to obtain each combined cluster; calculating the average edge distance of the combined minimum spanning tree of the combined clusters, and absorbing the combined clusters of which the average distance is smaller than the reachable distance characteristic value by utilizing the combined clusters of which the average edge distance is greater than or equal to the reachable distance characteristic value to obtain an effective cluster set; and drawing the boundary of each effective cluster in the effective cluster set and each risk dense area. The invention further provides a risk area analysis device based on artificial intelligence, electronic equipment and a storage medium. According to the invention, the accuracy of risk-intensive area positioning can be improved.
Description
technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based risk area analysis method, device, electronic equipment and computer-readable storage medium. Background technique [0002] In the insurance industry, assessing the risk of the area where the underwriting object is located is an important work link. Combining historical business data to delineate areas with high risks will play a major role in supporting the risk assessment work in the underwriting link. In the historical insurance business data, the accident data well reflects the actual risk situation of the subject matter, and combined with the geographical location information recorded in the accident data, the accident risk in the corresponding area can be further evaluated. [0003] The risk map of the dangerous area is an important form of evaluating the risk area. The risk map of the dangerous area is integrated bas...
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IPC IPC(8): G06Q10/06G06K9/62
CPCG06Q10/0635G06F18/2323
Inventor 龙铠豪郑越曾思敏李佳雯谢文峰
Owner CHINA PING AN PROPERTY INSURANCE CO LTD