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

Data mining method based on fuzzy algorithm in the background of big data

A data mining and fuzzy algorithm technology, applied in the direction of electrical digital data processing, special data processing applications, calculations, etc., can solve problems such as insufficient efficiency and inability to meet the requirements of data mining to achieve accurate and efficient data The effect of excavation

Inactive Publication Date: 2018-01-23
上海蓬景数字营销策划有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although it improves the clustering ability, its efficiency is still not high enough to meet the requirements of data mining under the background of big data.

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 based on fuzzy algorithm in the background of big data
  • Data mining method based on fuzzy algorithm in the background of big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] In the following description, reference is made to the accompanying drawings, which illustrate several specific embodiments by way of illustration. It will be appreciated that other embodiments are conceivable and can be made without departing from the scope or spirit of the application. Therefore, the following detailed description should not be considered in a limiting sense.

[0015] According to an embodiment of the present invention, figure 1 It illustrates a data mining method based on fuzzy algorithm in the background of big data, including the following steps: 1) Prepare the data, and prepare the data to be mined from the big data, because the original data to be mined is not directly suitable for Because it is mined by data, it needs to be pre-processed, including but not limited to data selection, cleaning, speculation, and transformation operations. This step is the most basic operation, because the quality of its results directly determines the follow-up T...

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 present invention generally relates to the technical field of electrical data digital processing, and more specifically relates to a data mining method under the background of big data. The present invention provides a kind of data mining method based on fuzzy algorithm under the big data background, it is characterized in that comprising the following steps: 1) data is prepared, the data that will be mined is prepared from big data, it is pre-processed ; 2) Mining the data, according to the purpose and needs of mining, select the fuzzy clustering algorithm to mine data rules; 3) Evaluate and analyze the mining results, explain and analyze the mining results and extract the desired or sentimental data; 4) The evaluation results of mining are used in real decision-making. The method proposed in this application can solve the technical problem of accurately and efficiently performing data mining when processing big data information.

Description

technical field [0001] The present invention generally relates to the technical field of electrical data digital processing, and more specifically, relates to a data mining method under the background of big data. Background technique [0002] With the continuous improvement of social industrialization and informatization, data has replaced computing as the center of information computing. Cloud computing and big data are becoming a trend and trend, including storage capacity, availability, I / O performance, and data security. , scalability and many other aspects. Big data is very large and complex data sets. Big data has 4V: Volume (a large amount), the amount of data continues to increase rapidly; Velocity (high speed), data I / O speed is faster; Variety (variety), data types and sources are diversified; Value (value), it exists in all aspects available value. How to extract and obtain desired knowledge or interesting information from massive data is a requirement for mak...

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 Patents(China)
IPC IPC(8): G06F17/30
Inventor 杨立波
Owner 上海蓬景数字营销策划有限公司
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