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A method for constructing data association network

A technology of relational network and data association, applied in database model, electronic digital data processing, structured data retrieval, etc., can solve multi-table, multi-concept and multi-level research. Analyze requirements and other issues to achieve efficient mining of multi-relational sequence patterns, effective mining of potential business value, and improvement of accuracy

Active Publication Date: 2019-02-12
国家电网有限公司客户服务中心
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, single-table data mining can no longer meet the analysis requirements. There are also some discussions on the research on mining association rules between multiple tables, but there are no relevant research reports on the multi-concept and multi-level research between multiple tables.

Method used

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  • A method for constructing data association network
  • A method for constructing data association network
  • A method for constructing data association network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0048] The implementation process of the present invention is described by taking some data of the electric power industry as an example.

[0049] A method for constructing a data association network, comprising the following steps:

[0050] Step 1: Data acquisition and preprocessing stage

[0051] Considering the business needs, this example selects 43 data tables of the basic support platform, business support system, intelligent interactive website and other systems of the power grid industry as the research objects, because the data comes from different systems. In order to better correlate the data, we need to eliminate Part of the field that affects the association effect (target write time, change time, province and city code, etc.), re-determines the primary and foreign keys of the table, and establishes a data dictionary based on the primary and foreign keys and the equivalent relationship of the data table, as shown in the following table:

[0052]

[0053] Step ...

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Abstract

The invention relates to the data mining, in particular to a method for constructing a data association network. The method for constructing the data association network of the invention adds a graphalgorithm and the text similarity mapping, and constructs the data association relation, and comprises the following steps of collecting and pre-treating data; constructing a data association algorithm; constructing a table-between association data model based on the data flows of the above algorithm. Compared with the prior art, the invention improves the scientific quantitative analysis method,adopts the simple text mapping and the graph algorithm to find part of the correlation relationship, and by introducing the text similarity as a quantitative index, improves the accuracy of the matching judgment greatly.

Description

Technical field: [0001] The invention relates to data mining, in particular to a method for constructing a data association network. Background technique: [0002] Association rule mining, first proposed by Rabesh Agrawal et al. in 1993, is a very important research direction in data mining technology. With the help of it, associations between data items can be found from massive data, and some associations It can assist enterprises to make relevant decisions. Scholars at home and abroad have done a lot of research on the association relationship and achieved fruitful results. [0003] In the past, crawler technology was mainly used to crawl the required webpages from the webpage in the construction of the association relationship network in the past, and then the content of the webpage was processed and cleaned to obtain an analyzable text corpus, and then association rules were mined based on a single table to finally generate an association relationship network. However...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/2458G06F16/28
Inventor 宫立华盛妍张全李俊峰刘鲲鹏朱龙珠王宗伟杨菁金鹏李子乾王海龙孙荣卜晓阳
Owner 国家电网有限公司客户服务中心
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