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Accompanying data analysis method and device, computer equipment and storage medium

A data analysis and data technology, applied in the field of data query, can solve the problems of large amount of data in union operations, speed up query speed, waste of storage space, etc., and achieve the effect of speeding up analysis efficiency

Pending Publication Date: 2022-04-26
智器云南京信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when the amount of analyzed data is large, the performance of traditional data analysis methods is poor, so the pre-computation method is usually used to reduce the amount of analyzed data, because the pre-computation method only calculates and stores the accompanying behavior of a single behavior point. speed up queries
[0004] However, for the pre-computation method, the data of a single behavior point is mostly random data, and there is no behavior relationship between the data, so the pre-computation method stores a large number of useless intermediate results, which greatly wastes storage space
In addition, even if the query time of a single behavior point data is accelerated, the amount of data for the union operation is still large, the calculation time is very long, and the analysis results cannot be obtained in a short time

Method used

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  • Accompanying data analysis method and device, computer equipment and storage medium
  • Accompanying data analysis method and device, computer equipment and storage medium
  • Accompanying data analysis method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] figure 1 It is a schematic flow diagram of an accompanying data analysis method provided by Embodiment 1 of the present invention. This method is applicable to the analysis of hidden relationships between data entities to find the situation of an indirect relationship between two data entities. This method can It is performed by accompanying data analysis means, wherein the means can be realized by software and / or hardware, and generally integrated on computer equipment.

[0035] Such as figure 1 As shown, a method for analyzing accompanying data provided in Embodiment 1 of the present invention includes the following steps:

[0036] S110. Acquire behavior data of multiple data entities.

[0037] Among them, the data entity can be understood as the data form of the entity, and the concept of the data entity is for the computer, which can be understood as an entity is stored and calculated in the form of a data entity in the computer. An entity can be any kind of enti...

Embodiment 2

[0061] Figure 4 It is a schematic flow chart of an accompanying data analysis method provided in Embodiment 2 of the present invention. This Embodiment 2 is optimized on the basis of the foregoing embodiments. In this embodiment, the behavior vectors of the multiple data entities are determined according to the behavior data, which is further embodied as: processing the behavior data into graph data, and each graph data includes a data entity and the data The spatio-temporal trajectory points corresponding to the entity; sort the spatio-temporal trajectory points corresponding to each of the data entities in time order to obtain the complete trajectory information of each of the data entities; extract each Multiple behavior vectors for each of the data entities. Please refer to Embodiment 1 for the content that is not exhaustive in this embodiment.

[0062] Such as Figure 4 As shown, a method for analyzing accompanying data provided in Embodiment 2 of the present inventio...

Embodiment 3

[0098] Image 6 It is a schematic structural diagram of an accompanying data analysis device provided by Embodiment 3 of the present invention. This device is applicable to the analysis of hidden relationships between data entities to find situations where there is an indirect relationship between two data entities. The device can be used by Implemented in software and / or hardware, and generally integrated on computer equipment.

[0099] Such as Image 6 As shown, the device includes: an acquisition module 110 and a preprocessing module 120 .

[0100] An acquisition module 110, configured to acquire behavioral data of multiple data entities;

[0101] A preprocessing module 120, configured to preprocess the behavior data to obtain multiple sets of accompanying data;

[0102] Wherein, the preprocessing includes establishing a direct relationship between multiple data entities having the same behavior vector.

[0103] In this embodiment, the device first uses the acquisition ...

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Abstract

The invention discloses an accompanying data analysis method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring behavior data of a plurality of data entities; preprocessing the behavior data to obtain multiple groups of accompanying data; wherein the preprocessing comprises the step of establishing a direct relationship between every two of a plurality of data entities with the same behavior vector. According to the method, the data to be subjected to adjoint analysis can be preprocessed, the data is processed into the adjoint relationship between the data entities, a result can be obtained by one-time query during data analysis, and the analysis efficiency of data analysts can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data query, and in particular, relate to an accompanying data analysis method, device, computer equipment, and storage medium. Background technique [0002] In the process of data analysis, it is often necessary to analyze the hidden relationship of data entities to find the indirect relationship between entities and other entities. Accompanying data is a common hidden relationship. Accompanying data refers to the data of multiple data entities that have similar data behaviors on the spatio-temporal trajectory. [0003] In traditional data analysis methods, direct query is usually used to query accompanying data, that is, query the behavior point data of the entity to be checked in the database, traverse each behavior point data, and query other entities corresponding to each behavior point. Take the intersection of the entity sets corresponding to the behavior points, and analyze ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/28
CPCG06F16/288
Inventor 吕志军杜凯凯许超
Owner 智器云南京信息科技有限公司