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

Automatic enterprise data clustering method and system

An automatic clustering and enterprise data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of enterprise data disorder, low accuracy, low efficiency of classification, etc., to ensure automation and usability, The effect of ensuring accuracy and reliability

Inactive Publication Date: 2018-01-12
前海梧桐(深圳)数据有限公司
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, data and information are overflowing on the Internet, and enterprise data is even more disorganized. At this stage, the methods of processing these enterprise data are mostly in the manual stage, and the more advanced ones can only be semi-automatic. Classifying data still requires Manual assistance processing, in the face of massive enterprise data, the efficiency of classification is low, and the accuracy rate is also low

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
  • Automatic enterprise data clustering method and system
  • Automatic enterprise data clustering method and system
  • Automatic enterprise data clustering method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In order to fully understand the technical content of the present invention, the technical solutions of the present invention will be further introduced and illustrated below in conjunction with specific examples, but not limited thereto.

[0056] Such as Figure 1-9 In the specific embodiment shown, a method for automatic clustering of enterprise data provided by this embodiment can be used in the process of classifying enterprise data to realize clustering of massive data and ensure that clustering support is more in line with the needs of practical applications , to ensure the automation and availability of clustering.

[0057] Such as figure 1 As shown, the present embodiment provides a method for automatic clustering of enterprise data, the method comprising:

[0058] S1. Obtain relevant data of the enterprise;

[0059] S2. Preprocessing and storing the enterprise-related data;

[0060] S3. Obtain a text vector for the processed enterprise-related data;

[006...

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 relates to an automatic enterprise data clustering method and system. The automatic enterprise data clustering method comprises the steps that relevant data of enterprises is obtained; the relevant data of the enterprises is preprocessed and stored; text vectors are obtained from the processed relevant data of the enterprises; the text vectors are classified and clustered according to a K-Means algorithm. The accuracy and reliability of data sources are ensured by obtaining massive reliable relevant data of the enterprises, the enterprises are preprocessed by utilizing an unsupervised learning algorithm based machine learning technology, data storage is performed by utilizing HAFS, and automatic and reliability clustering is ensured. A natural language is adopted for data analysis, the text vectors and weights corresponding to the text vectors are obtained, the text vectors are automatically clustered from the massive data based on K value optimization and classificationmodels of specialists, it is ensured that the clustering supports the demand meeting actual applications, and automatic and available clustering is ensured.

Description

technical field [0001] The present invention relates to a method for processing enterprise data, more specifically to a method and system for automatic clustering of enterprise data. Background technique [0002] Enterprise data generally refers to all information and materials related to enterprise operations, including company profiles, product information, operating data, research results, etc., many of which involve commercial secrets. Generally speaking, enterprise data refers to enterprise data in a narrow sense, which generally only includes Company overview, including company business scope, contact information, enterprise size, etc., is usually public data. Enterprise data acquisition channels are divided into centralized and distributed. The centralized type is generally released by a unified government department, such as the data of the Bureau of Industry and Commerce and the Bureau of Statistics. It is authoritative and comprehensive, but the content of the dat...

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): G06F17/30G06K9/62
Inventor 宋小鹏
Owner 前海梧桐(深圳)数据有限公司
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