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

Data-mining-oriented cloud implementation method

An implementation method, a data-oriented technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of large data warehouse and data mining expenses, limited use range, etc., to achieve cost reduction, efficient calculation, Simple operation effect

Inactive Publication Date: 2016-08-10
INSPUR QILU SOFTWARE IND
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In business intelligence (BI) activities, data warehousing and data mining require huge expenditures, and many small and medium-sized enterprises are discouraged, and the scope of use is greatly limited.

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-oriented cloud implementation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0018] Such as figure 1 As shown, the data mining-oriented cloud implementation method of the present invention comprises the following steps:

[0019] S1: Encapsulate all business service functions into interface entity classes and compile them. The DmaaS (Data Mining as a Serves) platform adds information such as entity class names, call specifications, and function descriptions to the list of application interfaces, and implements interface and business entity class mapping.

[0020] S2: When using the interface, the user sends a WebService request to the platform, and the WebService interceptor intercepts the request and finds out the corresponding interface and entity class in the interface list.

[0021] S3: Obtain entity objects through reflection technology for business processing, and finally return the processing results to users to realize the functions of data mining and statistical analysis of data.

[0022] The actual working process of the data mining-oriented...

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 data-mining-oriented cloud implementation method, which belongs to the technical field of business data analysis. The data-mining-oriented cloud implementation method comprises the following steps: S1: packaging all business service functions into an interface entity class, compiling the interface entity class, adding the information, which includes the name, the calling convention, the function description and the like, of the entity class into an application interface list by a DMaaS platform, and realizing mapping between the interface and the business entity class; S2: after a user uses the interface, sending a WebService request to a platform, and searching the corresponding interface and entity class in the interface list after a WebService interceptor intercepts the request; and S3: obtaining an entity object through a refection technology to carry out business processing, and finally, returning a processing result to the user to realize the functions of data mining and data statistical analysis. The data-mining-oriented cloud implementation method is simple in operation, can realize the efficient calculation of mass data, can effectively reduce the expenditure of an enterprise and has a good popularization and application value.

Description

technical field [0001] The invention relates to the technical field of commercial data analysis, and specifically provides a data mining-oriented cloud implementation method. Background technique [0002] For today's business intelligence analysis, it is usually necessary to analyze massive data. Therefore, it is an inevitable trend in the development of statistics to use the high-efficiency computing power of computers to conduct statistical analysis on data. Many sets of statistical software headed by R have powerful processing and statistical capabilities. Since the R software comes from the S language project under free and free development by GNU, it has the advantages of broad public support and fast updates. Users can download and use R software for free on the R Project website. However, in the process of commercial data mining, the computer hardware configuration of individual R users cannot support a huge amount of calculation. In addition, due to the rapid upda...

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
CPCG06F16/254
Inventor 武斌邹建军
Owner INSPUR QILU SOFTWARE IND
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