Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Two-stage instance layer data integration approach based on fuzzy priority

A data integration and prioritization technology, applied in the field of data integration, can solve the problem that integration efficiency and result accuracy cannot be balanced at the same time

Active Publication Date: 2013-06-19
HOHAI UNIV
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Purpose of the invention: The present invention aims at the deficiency that integration efficiency and result accuracy cannot be balanced at the same time in existing data integration methods, and the present invention provides a two-stage instance-level data integration method based on fuzzy priority

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Two-stage instance layer data integration approach based on fuzzy priority
  • Two-stage instance layer data integration approach based on fuzzy priority
  • Two-stage instance layer data integration approach based on fuzzy priority

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0055] Such as figure 1 As shown, the two-stage instance-level data integration method based on fuzzy priority is divided into five steps:

[0056] Step 1, establish a fuzzy priority model. This method uses three priority indicators to describe the distributed storage nodes to which records belong, including three indicators of confidence, availability and error, and uses fuzzy processing for them. For each index, seven qualitative judgment standards are adopted, and then quantified by triangula...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a two-stage instance layer data integration approach based on fuzzy priority and belongs to the technical field of data integration. The two-stage instance layer data integration approach based on the fuzzy priority comprises the following steps: determining priority indicators and the weight of each indicator of distributed storage nodes firstly, wherein records to be integrated belongs to the distributed storage nodes, adopting triangular fuzzy numbers to show the fuzzy priority; distinguishing the intensity conflict of an instance layer according to a voting mechanism when data is integrated; if the intensity conflict is weak, adopting the most consistent attribute value to be used as an integrated result; and if the intensity conflict is strong, calculating each record and the membership degree of a positive ideal solution and determining the attribute value adopted by integration by means of construction of a fusion decision matrix of defuzzification. The two-stage instance layer data integration approach based on the fuzzy priority solves the problems of low integrated efficiency of low precision of the integrated result in massive data integration and the like.

Description

technical field [0001] The invention relates to a two-stage instance-level data integration method based on fuzzy priority. The two-stage data integration method relates to the definition of data storage node fuzzy priority indicators, instance-level conflict judgment and conflict resolution, and belongs to the technical field of data integration. Background technique [0002] With the process of informatization in various fields, the amount of data collection, storage, processing and dissemination is also increasing day by day. Realizing data sharing can enable more industry departments to make full use of existing data resources, reduce duplication of labor and corresponding costs such as data collection and data collection. However, in the process of implementing data sharing, since the data provided by different users may come from different channels, the data content, data format and data quality vary widely, and sometimes even the data format cannot be converted or inf...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 冯钧盛震宇唐志贤李士进朱跃龙万定生徐黎明冯读庆许潇姜康陈焕霖刘子源朱康康史涯晴
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products