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Matching method based on generalization bi-direction similarity connection technique

A technology of connection technology and matching method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of increasing the success rate, meeting the actual needs, and having a wide range of applications

Active Publication Date: 2014-11-26
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, traditional matching methods have high limitations in diverse data types, and cannot well meet the growing objective needs in the real world.

Method used

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  • Matching method based on generalization bi-direction similarity connection technique
  • Matching method based on generalization bi-direction similarity connection technique
  • Matching method based on generalization bi-direction similarity connection technique

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Embodiment Construction

[0017] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0018] see figure 1 , a matching method based on generalized two-way similar connection technology described in this scheme, specifically includes:

[0019] Step S101, obtaining the data to be matched by both parties and the given threshold for limiting the degree of matching;

[0020] Step S102, performing two-way matching on the factual data of each of the matching parties and the expected data of the other party;

[0021] Step S103, filtering a large number of records that do not meet the matching conditions according to the results of the two-way matching;

[0022] Step S104, quickly judge the filtered candidate set, and obtain record pairs that can be successfully matched.

[0023] Concrete implementation in practical appl...

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PUM

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Abstract

The invention discloses a matching method based on a generalization bi-direction similarity connection technique, and relates to the technical field of computer networks. The method includes the steps of obtaining data of two parties to be matched and a given threshold value for limiting the matching degree, carrying out bi-direction matching on factual data of each party and expected data of the other party, filtering a large quantity of records which do not meet matching conditions according to bi-direction matching results, quickly judging filtered candidate sets and obtaining record pairs capable of being successfully matched. According to the matching method based on the generalization bi-direction similarity connection technique, generalization bi-direction similarity connection is carried out based on mapping, filtering and verification (MFV), and the method is suitable for wide application scenes in the real world.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a matching method based on generalized bidirectional similar connection technology. Background technique [0002] Bidirectional similarity join aims to find out all pairs of data records satisfying predetermined join conditions from two or a given data set, and is an important operation in database applications. However, traditional matching methods have high limitations in diverse data types, and cannot well meet the growing objective needs in the real world. Moreover, in the process of two-way matching, the roles of the two parties may be different, and the matching object comes from one party's expected data of the other party and the other party's factual data. How to cross-comparison the expected data with the actual data is a problem that needs to be solved at present. major technical issues. In addition, in the real world, individuals have different requirement...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2456
Inventor 王朝坤王萌汪浩
Owner TSINGHUA UNIV
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