Data consistency evaluation method based on data pattern clustering
A data model and consistency technology, applied in database update, structured data retrieval, special data processing applications, etc., can solve problems such as data engineers do not understand the business, the application system is complicated, and it is impossible to specify the standard model of whether the data is reasonable.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0016] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.
[0017] Firstly, the usage scenario of the present invention is introduced, and the present invention can be used in any scenario where it is necessary to evaluate whether the data value pattern in a field meets the requirements. Especially in the case that the data engineer cannot know the standard mode of the field to be tested in advance, the invention can help the data engineer to easily evaluate the field data consistency.
[0018] Such as figure 1 As shown, assume that there is a two-dimensional table T, which has a phone number field F, and we want to find the data that does not conform to the phone number format. Then we can use the following pattern clustering algorithm to carry out pattern clustering on the value of field F.
[0019] I...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com