Data accompanying analysis method and device

An analysis method and data technology, applied in measurement devices, special data processing applications, instruments, etc., can solve the problems of long time consumption and high complexity, and achieve the effect of improving timeliness and reducing complexity

Inactive Publication Date: 2017-10-03
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The invention provides a data adjoint analysis method and device, which are used to solve the existing problem of high complexity and time-consuming by first fitting the trajectory and then calculating the adjoint similarity

Method used

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  • Data accompanying analysis method and device
  • Data accompanying analysis method and device
  • Data accompanying analysis method and device

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Experimental program
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Effect test

Embodiment 1

[0022] Such as figure 1 As shown, it is a schematic flow chart of the data accompanying analysis method in Embodiment 1 of the present invention. The data companion analysis method includes the following steps:

[0023] S101. Perform dimension reduction processing on the two-dimensional spatial data in the original data of the target number to obtain the one-dimensional spatial data of the target number.

[0024] In the process of number movement, a lot of positioning data will be generated. Generally, these positioning data include the data of the space dimension used to represent the position information and the data of the time dimension used to represent the time. The data of the space dimension is composed of Longitude and latitude data composition. In this embodiment, the positioning data generated during the movement of the number is defined as original data, which can represent the location of the number at different times.

[0025] In order to reduce the dimensions...

Embodiment 2

[0033] Such as figure 2 As shown, it is a schematic flow chart of the data accompanying analysis method in Embodiment 2 of the present invention. The data companion analysis method includes the following steps:

[0034] S201. Perform dimension reduction processing on the two-dimensional spatial data in the original data of the target number to obtain the one-dimensional spatial data of the target number.

[0035] In order to reduce the dimensions of the original data and simplify the positioning data, in this embodiment, the two-dimensional spatial data in the original data of the target number is reduced to one-dimensional spatial data, specifically, the two-dimensional spatial data of the target data, that is, the longitude and latitude data. Spatial hash processing, mapping two-dimensional spatial data into unary geohash codes, that is, iteratively mapping latitude and longitude into 32-ary codes. In this embodiment, the unary geohash code is the one-dimensional spatial ...

Embodiment 3

[0060] Such as image 3 As shown, it is a schematic flow chart of the data accompanying analysis method in Embodiment 3 of the present invention. The data companion analysis method includes the following steps:

[0061] S300. Receive query information input by a user.

[0062] The query information includes a query number and a query time period, wherein the number of query numbers is 1, and the query number is used as a target number.

[0063] When the user tries to perform accompanying analysis on the target number, he can input query information through the query interface, wherein the query information includes the query number and the query time period. The number of query numbers can be one or more. In this embodiment, the known target number and other numbers compared with the target number are used as an application scenario for illustration. In this application scenario, the query number One of them is used as the target number, and the remaining query numbers are ...

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Abstract

The invention provides a data accompanying analysis method and device. One-dimensional spatial data of a target number is obtained through carrying out dimension reduction processing on two-dimensional spatial data in original data of the target number, the one-dimensional spatial data of the target number and time data in the original data are converted into a comparable track queue of the target number, and the accompanying similarity to other numbers is calculated on the basis of the track queue of the target number. In the method and device, the original data is simplified through dimension reduction processing, fitting processing through a mathematical model is not carried out, the complexity is reduced, and the timeliness of accompanying analysis is improved.

Description

technical field [0001] The invention belongs to the field of data processing, analysis and calculation, and in particular relates to a data accompanying analysis method and device. Background technique [0002] In mobile big data, there is a lot of useful location data. In order to mine these useful positioning data from mobile big data, a trajectory composed of the locations that the target number has experienced in a certain period of time can be obtained through number accompanying analysis, and then the trajectory of the target number is compared with the trajectory of other numbers to calculate The accompanying similarity between these numbers can be a very favorable basis for improving the intimacy judgment between numbers. [0003] The data density of mobile big data is very high, and in interactive applications, the timeliness requirements for accompanying analysis of numbers are relatively high. At present, the trajectory is first fitted and then the accompanying ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/22G06F16/2465G01P13/02
Inventor 丁先树罗毅韩陆勃朗
Owner ALIBABA GRP HLDG LTD
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