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

Data mining method for analyzing correlation between enterprise data and regional economic prosperity

A technology of enterprise data and data mining, applied in data processing applications, structured data retrieval, geographic information databases, etc., can solve problems such as lack of analysis of conditions

Inactive Publication Date: 2019-07-02
青岛格兰德信用管理咨询有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, most of the marketers use simple data query to see which enterprises are nearby, and lack of effective analysis of the situation of a whole area; moreover, the existing technology does not analyze the prosperity of the regional economy from the perspective of enterprises, The prosperity of the economy needs to be considered from multiple angles, but as marketers for enterprises, they pay more attention to the distribution of enterprises in the region and the overall situation of a certain region

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
  • Data mining method for analyzing correlation between enterprise data and regional economic prosperity
  • Data mining method for analyzing correlation between enterprise data and regional economic prosperity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0027] On the contrary, the invention covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of the invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the detailed description of the present invention below. The present invention can be fully understood by those skilled in the art without the description of these detailed parts.

[0028] In view of the fact that the existing technology does not analyze the prosperity of the regiona...

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 belongs to the technical field of data mining of regional marketing, and particularly relates to a data mining method for analyzing correlation between enterprise data and regional economic prosperity, which comprises the steps of data dimension determination, sample data selection, data normalization, sample data labeling, support vector machine training model, model deployment anddata visualization. Wherein the data dimension determined in the step of the data dimension determination is the sum of the mean value of the enterprise registration capital within the radius of 300 meters and the enterprise registration capital within the radius of 300 meters; a regional economic prosperity multi-classification model based on enterprise data is established according to the selected enterprise dimension with strong regional economic prosperity correlation, data visualization can be achieved, and classification results are marked on a map by using different colors; salesmen canconveniently grasp the distribution condition of enterprises in the area and know the overall condition of a certain area.

Description

technical field [0001] The invention belongs to the technical field of data mining for regional marketing, and specifically relates to a data mining method for analyzing the correlation between enterprise data and regional economic prosperity, which is used to realize data feature selection, data classification model establishment, and data visualization. Background technique [0002] Many marketing fields now require marketers to visit unfamiliar areas for interviews. Facing unfamiliar cities, choosing a reasonable area can make marketers get twice the result with half the effort. [0003] In the existing technology, most of the marketers use simple data query to see which enterprises are nearby, and lack of effective analysis of the situation of a whole area; moreover, the existing technology does not analyze the prosperity of the regional economy from the perspective of enterprises, The prosperity of the economy needs to be considered from multiple perspectives, but as ma...

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): G06F16/29G06Q10/06G06Q30/02
CPCG06Q10/063G06Q30/0203
Inventor 不公告发明人
Owner 青岛格兰德信用管理咨询有限公司
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

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