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A median analysis method and device

An analysis method and median technology, applied in the field of big data analysis, which can solve problems such as time-consuming and computing resources, and complex median calculation and processing.

Inactive Publication Date: 2019-01-11
CHENGDU SEFON SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the purpose of the embodiments of the present invention is to provide a median analysis method and device to solve the problems in the prior art that the calculation and processing of the median is relatively complicated when the amount of data is huge, and consumes too much time and computing resources. question

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no. 1 example

[0027] The applicant found that the traditional median calculation method is to arrange the full amount of data. Due to the limited computer memory in the case of massive data, it is usually impossible to read all the data at once for sorting, and multiple readings will also Consumes a lot of computing resources and is inefficient. In order to solve the above problems, the first embodiment of the present invention provides a median analysis method. It should be noted that the execution subject of the steps of the median analysis method in the embodiment of the present invention can be a computer, a cloud server or other capable Electronic equipment for performing the steps in the median analysis method.

[0028] Please refer to figure 1 , figure 1 It is a schematic flowchart of a median analysis method provided in the first embodiment of the present invention. The concrete steps of described median analysis method can be as follows:

[0029] Step S20: Cut the task data set...

no. 2 example

[0050] In order to cooperate with the median analysis method provided in the first embodiment of the present invention, the second embodiment of the present invention further provides a median analysis device 100 .

[0051] Please refer to image 3 , image 3 It is a block diagram of a median analysis device provided by the second embodiment of the present invention.

[0052] The median analysis device 100 includes a sub-data set determination module 110 and an analysis result acquisition module 120 .

[0053] The sub-dataset determination module 110 is configured to cut the task data set corresponding to the user query operation into multiple sub-datasets, and send each sub-dataset to the corresponding computing node.

[0054] The analysis result acquisition module 120 is used for each operation node to use the median selection algorithm to calculate each sub-data set to obtain the node calculation result, and combine the node calculation results to obtain the median analys...

no. 3 example

[0068] Please refer to Figure 4 , Figure 4 The third embodiment of the present invention provides a structural block diagram of an electronic device applicable to the embodiments of the present application. The electronic device 200 provided in this embodiment may include a median analysis device 100 , a memory 201 , a storage controller 202 , a processor 203 , a peripheral interface 204 , an input / output unit 205 , an audio unit 206 , and a display unit 207 .

[0069] The memory 201, storage controller 202, processor 203, peripheral interface 204, input and output unit 205, audio unit 206, and display unit 207 are electrically connected to each other directly or indirectly to realize data transmission or interact. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The median analysis device 100 includes at least one software function module that can be stored in the memory 201 in the form of ...

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Abstract

The invention provides a median analysis method and device, which relate to the technical field of big data analysis. The median analysis method comprises the following steps: cutting a task data setcorresponding to a user query operation into a plurality of sub-data sets, and sending each sub-data set to a corresponding operation node respectively; each operation node adopting a median selectionalgorithm to calculate each sub-data set to obtain node calculation results, and combining the node calculation results to obtain a median analysis result. This method reduces the computational resource requirement of median computation and improves the efficiency of median computation by dividing node operation and using median selection algorithm to calculate median.

Description

technical field [0001] The present invention relates to the technical field of big data analysis, in particular to a median analysis method and device. Background technique [0002] With the vigorous development of data acquisition, management, and storage technologies, data has gradually presented new features such as massive data scale, rapid data flow, diverse data types, and low value density. Data has also penetrated into every industry and society in today's society. Business functional areas, and become an important factor of production within the enterprise. [0003] Currently, the average algorithm is usually used to calculate the average value of a measure, but when the data does not conform to the normal distribution, due to the influence of extreme values, the average often cannot reflect the real average level (such as the average house price, individual Income, etc.), so the role of the median in data analysis is getting more and more attention. However, sinc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/16G06F16/172G06F16/14
Inventor 杨星赖文王建洪
Owner CHENGDU SEFON SOFTWARE CO LTD
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