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Data association relationship mining method and application based on search engine technology

A search engine and data association technology, applied in special data processing applications, electrical digital data processing, text database indexing, etc., to achieve the effect of improving efficiency

Pending Publication Date: 2020-11-27
CITY CLOUD TECH HANGZHOU CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no mature product software on the market to meet this type of demand

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  • Data association relationship mining method and application based on search engine technology
  • Data association relationship mining method and application based on search engine technology
  • Data association relationship mining method and application based on search engine technology

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0019] This solution provides a data association relationship mining method based on search engine technology. This method can be applied to the establishment of data association relationships of various objects in data sources including multi-party massive data. The data sources here may include no unified standards and data formats. If traditional data retrieval technology is used to analyze the multi-party data that is messy, with inconsistent object data definitions, and associated data hi...

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Abstract

The invention provides a data association relationship mining method and application based on a search engine technology. The method comprises the following steps of establishing a full-text index database, the full-text index database comprising a data table and an object field list which have established a full-text index relation, and the object field list comprising at least one object category field corresponding to an object category; retrieving a database according to the object category fields, and obtaining an object list for each category of objects, the object list including at least one object field corresponding to the object; retrieving a database according to the object field, and obtaining associated data for each object; establishing an association relationship between theobject and the associated data; wherein the association relationship is at least the relationship between the data table main key value corresponding to the position of the associated data and the object main key information. The method aims at quickly and conveniently searching all the data of the whole library and the whole table according to the associated object and automatically establishingthe association relationship according to the retrieved data, so that the technical blank in the prior art is filled up.

Description

technical field [0001] The invention relates to the field of data mining, in particular to a data association relationship mining method and application based on search engine technology. Background technique [0002] Data mining is a method of using computer algorithms to search for specific information hidden in massive data, and the data results obtained have a very wide range of applications in real life. The basis of data mining is the need to collect multi-party data and perform data association analysis on it. The larger the amount of collected data, the more accurate the information that can be mined. However, due to the multi-party data scattered in each data table, and the data format There is no unified standard, and the descriptions of the same type of data in multi-party data are not the same. These technical problems have brought great challenges to data mining. [0003] At present, the most common way is to analyze the data structure, then use SQL statements ...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/31G06F16/242
CPCG06F16/33G06F16/313G06F16/319G06F16/2433
Inventor 郁强凌晨
Owner CITY CLOUD TECH HANGZHOU CO LTD
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