Network position mining method, device and equipment and storage medium

Abstract

The invention discloses a network position mining method, device and equipment and a storage medium. The method comprises the steps of obtaining multiple pieces of positioning feature data corresponding to a target local area network address; taking the plurality of pieces of positioning feature data as input of a positioning density identification model, and performing positioning density identification on the plurality of pieces of positioning feature data to obtain the positioning density representing the density of the positioning feature data at the geographic position corresponding to the positioning feature data; determining a plurality of positioning feature data based on the positioning density; clustering the positioning feature data to obtain a plurality of positioning feature clusters; determining a target positioning feature cluster based on the positioning density corresponding to the positioning feature cluster; and realizing network position mining according to the geographic position and the positioning density of the positioning feature data in the target positioning feature cluster. By utilizing the technical scheme provided by the invention, the accuracy, the positioning precision, the processing efficiency and the universality of network position mining can be effectively improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a network location mining method, device, equipment and storage medium. Background technique [0002] With the development of mobile communication technology and popularization of computer technology, Location-Based Service (LBS, Location-Based Service) technology is entering people's life. In the application of the LBS technology, the location of the user's mobile phone and other terminal devices can be mined through the network location to provide location-related services. [0003] Currently, the most widely used positioning technology is GPS (Global Positioning System, global network location mining system). However, in some cases where GPS is not available, such as satellite signals cannot be covered, network positioning can often be used. In the prior art, network positioning often needs to dig out in advance the geographical location corresp...

AI Technical Summary

Problems solved by technology

In the prior art, network positioning often requires pre-mining the geographical location corresponding to the MAC (MediaAccessControlAddress, LAN address) of a large number of networks as the geographical location of the network. Positioning information: In the prior art, a manual method is often used to find out the geographic location of the MAC from a large number of positioning feature data corresponding to the MAC. However, the number of MACs that can be used for positioning is more than one billion. The distribution is complex, resulting in low efficiency, high cost, and poor universality of the manual method, and the manual analysis process has a certain degree of subjectivity, which makes it impossible to accurately analyze the distribution of positioning feature data, resulting in the inability to accurately locate accurate MAC geographic location, resulting in a decrease in positioning accuracy and accuracy

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