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A data relationship analysis method and system thereof

A data relationship and analysis method technology, applied in the field of data processing, can solve the problems of high resource overhead, low relevance, and inability to truly face users, etc., to reduce the number of access times, improve relevance and integrity, increase storage capacity and The effect of data usage

Active Publication Date: 2020-11-03
HANGZHOU YSCREDIT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The embodiment of the present invention provides a data relationship analysis method and its system, aiming to solve the problem of low correlation, high resource overhead, and failure to truly face users in the data analysis method in the prior art when processing structured data with a certain degree of correlation. technical issues

Method used

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  • A data relationship analysis method and system thereof
  • A data relationship analysis method and system thereof
  • A data relationship analysis method and system thereof

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Experimental program
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Embodiment 1

[0042] figure 2 The flow of a data relationship analysis method provided by an embodiment of the present invention is shown, and the details are as follows:

[0043] In step S201, the data request initiated by the user is analyzed to obtain an initial object, a target attribute, and a logical condition for defining the target attribute.

[0044] In an embodiment of the present invention, the data request may be a search request for a specific object, or a query request for a certain attribute of the data object. Wherein, the data object is a structured

[0045] For data, such as member information on social platforms, there may be a relationship between members who follow and be followed, and for example information about joint-stock companies, there may be a shareholding relationship between companies.

[0046]In step S202, according to the initial object, the corresponding analysis object in the object database is obtained, and the attribute data of the analysis object is...

Embodiment 2

[0070] image 3 It shows the process of obtaining the corresponding analysis object in the object database according to the initial object provided by the embodiment of the present invention, analyzing the attribute data of the analysis object, and verifying whether there is an attribute that matches the target attribute. as follows:

[0071] In step S301, by analyzing the semantics of the initial object, the object data satisfying the data format of the object database is obtained.

[0072] The embodiments of the present invention analyze the semantics of the initial object before searching for the initial object, so that data requests can initiate query requests to object databases in different formats, and users only need to describe the initial object according to their own expression habits.

[0073] In step S302, a search is performed in the object database to obtain a number of matching or similar analysis objects.

[0074] At this time, the embodiment of the present ...

Embodiment 3

[0084] Figure 4 It shows the process of storing the analysis object as an associated object in the buffer, and using the object pointed to by the attribute data as a new analysis object according to the pre-configured degree of association provided by the embodiment of the present invention, and performing verification again, The details are as follows:

[0085] In step S401, if the attribute data in step S304 has an attribute that matches the target attribute, both the analysis object and the matching attribute data are stored in a buffer.

[0086] In step S402, the analysis object is used as the associated object, and the attribute data that matches the target attribute is used as the associated attribute, and the degree of association of the analysis object is increased by 1. At this time, the degree of association of the association object is related to the are equally correlated.

[0087] In the embodiment of the present invention, there is only one associated attribut...

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Abstract

The invention is applied to the technical field of data processing, and provides a data relation analysis method and system. The method comprises the following steps that a data request initiated by auser is analyzed; according to an initial object, a corresponding analysis object in an object database is acquired, attribute data of the analysis object is analyzed, it is verified whether or not an attribute consistent with a purpose attribute exists; the analysis object taken as an association object is stored in a buffer area; according to the purpose attribute and logical conditions, a final object meeting the logical conditions is obtained; the final object and the association object in the buffer area are sorted to obtain a data relation network from the initial object to the final object. According to the data relation analysis method and system, the data request initiated by the user is taken as a condition for starting analysis, the associability and integrity of the data in the database are greatly improved, the memory space of the database and the data usage rate are effectively improved, so that the data relation analysis method can be widely used in the data processingfield of big data.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a data relationship analysis method and a system thereof. Background technique [0002] With the advent and development of the era of big data, the amount of industry data is increasing at an alarming rate. How to store, process, and utilize massive data has plagued industry users, and it has naturally become the focus of corporate competition and development. At present, most industries still mainly adopt the traditional data organization mode, which has low correlation, poor integrity, and few effective data, which is not conducive to the in-depth mining of massive data and the presentation of potential value. [0003] Existing big data analysis methods divide massive data into two categories, one is structured data that is mainly presented in the form of text, and the other is unstructured data that is mainly presented in the form of pictures and audio. Al...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/22G06F16/2455
CPCG06F16/22G06F16/2455
Inventor 蔡毅孙长磊张利江梁协君杨丽莎
Owner HANGZHOU YSCREDIT CO LTD
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