Accompanying relationship acquisition method and system, equipment and storage medium
A technology for obtaining methods and relationships, applied in special data processing applications, instruments, and electrical digital data processing, etc., can solve problems such as large amount of calculation, fuzzy corresponding relationships, and sparse data associated with relationships, so as to improve the breadth and make up for the sparseness of data Effect
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Embodiment 1
[0049] refer to figure 1 , figure 1 It is a flow chart of a specific embodiment of a method for obtaining an accompanying relationship based on a time-space trajectory in the present invention, and a method for obtaining an accompanying relationship based on a time-space trajectory includes the following steps:
[0050] The time-space trajectory acquisition step is to obtain the time-space trajectory information of the identity feature. The identity feature is the unique coded information of the device representing an individual. The space-time trajectory information includes the location information and time information of the identity feature. Specifically, the time-space trajectory information refers to the unique coded information of the device The specific time of being collected and the specific location of the collection device that uniquely encodes the information;
[0051] The identity feature pair acquisition step is to judge the spatiotemporal similarity of any two...
Embodiment 1
[0076] Obtain embodiment 2 based on embodiment 1, a kind of accompanying relationship acquisition system based on space-time trajectory, comprising:
[0077] The spatio-temporal trajectory acquisition module is used to obtain the spatio-temporal trajectory information of the identity feature, the identity feature is the unique coded information of an individual device, and the spatio-temporal trajectory information includes the location information and time information of the identity feature;
[0078] The identity feature pair acquisition module is used to judge the spatiotemporal similarity of any two identity features according to the spatiotemporal trajectory information to obtain the identity feature pair with spatiotemporal similarity;
[0079] The identity feature pair exclusion module is used to judge whether the identity feature pair with temporal and spatial similarity corresponds to the same individual so as to obtain the identity features with temporal and spatial s...
Embodiment 3
[0083] The clustering of crowds exists in groups with virtual social relations, but also in groups with strong spatio-temporal associations. Therefore, this embodiment proposes a method for obtaining an accompanying relationship, including the following steps:
[0084]The first accompaniment relationship information acquisition step is to use the accompaniment relationship acquisition method based on the space-time trajectory to acquire the first accompaniment relationship information, wherein the unique coded information of the device can be a mac address and an imsi address, or a mac address and an IC card number , can also be a mac address, an imsi address, and an IC card number; and for a specific description about the method for acquiring the accompanying relationship based on the space-time trajectory, refer to the specific description of Embodiment 1, and will not repeat them;
[0085] The second concomitant relationship information acquisition step is to obtain the sec...
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