Chinese-wolfberry data identification method

A technology of data identification and medlar, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of manual identification and achieve automatic identification, increase operating speed, and reduce storage

Inactive Publication Date: 2018-10-16
亳州中药材商品交易中心有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Or there are developers who are familiar with the business on both sides, so to understand the duplicate data on both sides of the business, there is no good way to solve this problem at the platform level
[0005] However, this method has the following problems: it is necess

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
  • Chinese-wolfberry data identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Embodiment 1, with reference to figure 1 , a wolfberry data recognition method,

[0025] Step 1, obtaining wolfberry information data; said wolfberry information data includes numerical data and non-numerical data;

[0026] Step 2, according to the numerical data and non-numerical data, retrieve the archive containing the wolfberry information data, select the archive that matches the numerical data and non-numerical data in the wolfberry information data; The above matching results are filled into the database;

[0027] Step 3, if not, supplement the database with the wolfberry information data to form a new archive.

[0028] A wolfberry data identification method, setting the coefficient of variation, and filling the database with numerical values.

[0029] A wolfberry data identification method, the numerical data are wolfberry quality data and nutritional component data.

[0030] A wolfberry data identification method, the non-numerical data are deterministic da...

Embodiment 2

[0036] Embodiment 2, a kind of Lycium barbarum data identification method,

[0037] Step 1, obtaining wolfberry information data; said wolfberry information data includes numerical data and non-numerical data;

[0038] Step 2, according to the numerical data and non-numerical data, retrieve the archive containing the wolfberry information data, select the archive that matches the numerical data and non-numerical data in the wolfberry information data; The above matching results are filled into the database;

[0039] Step 3, if not, supplement the database with the wolfberry information data to form a new archive.

[0040] A wolfberry data identification method, setting the coefficient of variation, and filling the database with numerical values.

[0041] A wolfberry data identification method, the numerical data are wolfberry quality data and nutritional component data.

[0042] A wolfberry data identification method, the non-numerical data are deterministic data, non-deter...

Embodiment 3

[0055] Embodiment 3, a kind of Lycium barbarum data recognition method,

[0056] Step 1, obtaining wolfberry information data; said wolfberry information data includes numerical data and non-numerical data;

[0057] Step 2, according to the numerical data and non-numerical data, retrieve the archive containing the wolfberry information data, select the archive that matches the numerical data and non-numerical data in the wolfberry information data; The above matching results are filled into the database;

[0058] Step 3, if not, supplement the database with the wolfberry information data to form a new archive.

[0059] A wolfberry data identification method, setting the coefficient of variation, and filling the database with numerical values.

[0060] A wolfberry data identification method, the numerical data are wolfberry quality data and nutritional component data.

[0061] A wolfberry data identification method, the non-numerical data are deterministic data, non-determin...

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 Chinese-wolfberry data identification method. The method includes: step 1, obtaining Chinese-wolfberry information data, wherein the Chinese-wolfberry information data include numerical-type data and non-numerical-type data; step 2, retrieving archives, which contain the Chinese-wolfberry information data, according to the numerical-type data and the non-numerical-type data, selecting archives matching the numerical-type data and the non-numerical-type data in the Chinese-wolfberry information data, and filling a database with matching results; and step 3, if not, using the Chinese-wolfberry information data to supplement the database to form a new archive. The method has the advantages of: improving speed of identification, correcting errors contained by Chinese-wolfberry information in the database, such as modifying wrongly written characters in the database, and improving the speed and accuracy of identification.

Description

technical field [0001] The invention relates to a wolfberry data recognition method with high recognition efficiency, convenient follow-up management and capable of eliminating duplicate data. Background technique [0002] The amount of existing wolfberry data is growing exponentially, and the capacity of the database has reached the level of trillions of bytes. To a large extent, these data are redundant data idle in the database. There is a lot of decision-making information hidden behind the data. It is particularly important to query, retrieve, extract and convert these seemingly "useless" data into useful auxiliary decision-making information. [0003] In the era of big data, more and more businesses within the enterprise need to use big data technology to analyze and support the business. However, different business teams have many similar business logics in the process of analyzing the business. The communication is not timely, resulting in a lot of similar data on t...

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
IPC IPC(8): G06F17/30
Inventor 怀化
Owner 亳州中药材商品交易中心有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap