Data processing method and computer system

A computer system and data processing technology, applied in the computer field, can solve problems that affect data decision-making and model result changes

Active Publication Date: 2015-07-22
HUAWEI CLOUD COMPUTING TECH CO LTD
View PDF8 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Since data modeling to data decision-making in the existing technology needs to be realized based on the combination of multiple human roles and machine analysis, once the model conditions o

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 processing method and computer system
  • Data processing method and computer system
  • Data processing method and computer system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] The embodiment of the present invention proposes a data processing method, such as figure 1 As shown, the method includes:

[0047] 101: The computer system discretizes the data samples to obtain the data samples in the form of a matrix.

[0048] In order to be able to analyze the data samples and obtain the information hidden in the data samples that can provide the required information for decision-making, the data samples can be converted into a matrix form. There are several ways to convert a data sample into matrix form. In the embodiment of the present invention, the data samples may be massive data, and the computer system may obtain the data samples in the form of a matrix by discretizing the data samples. Using the discretization method can not only convert the data samples into a matrix form, but also improve the calculation efficiency.

[0049] In the embodiment of the present invention, discretization refers to mapping limited individuals in infinite spac...

Embodiment 2

[0070] The embodiment of the present invention provides a data processing method, such as figure 2 As shown, the computer system can train the data samples in the form of a matrix by means of parallel computing according to the decision tree algorithm, obtain a classification rule set in the form of a decision tree, and apply it to the data decision platform. Wherein, the computer system may include a main computing node and a plurality of decision tree computing nodes, and the main computing node will use parallel computing to indicate that the multiple decision tree computing nodes all participate in the processing of the matrix-form data In the training of samples, the method includes:

[0071] 201: The discretization node of the computer system performs discretization processing on the data samples to obtain the data samples in the form of a matrix, and save the data samples in the form of a matrix.

[0072] For the manner in which the discretization node of the computer...

Embodiment 3

[0113] An embodiment of the present invention provides a computer system, such as Figure 4 As shown, a discretization module 41 and a processing module 42 may be included;

[0114] The discretization module 41 is used to discretize the data samples to obtain data samples in the form of a matrix; the data samples can be massive data, and the discretization process can not only convert the data samples into a matrix form, Computational efficiency can also be improved.

[0115] The processing module 42 is configured to train the data samples in the form of a matrix according to a preset classification method to obtain a classification rule set, and convert the classification rule set into the The classification rule set identified by the data decision-making platform, and the converted classification rule set identified by the data decision-making platform is provided to the data decision-making platform. In the embodiment of the present invention, the preset classification me...

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 provides a data processing method and a computer system. The computer system can achieve the discretized processing of a data sample, and obtains a matrix-form data sample (S101). According to a preset classification method, the training of the matrix-form data sample (S101) is carried out, thereby obtaining a classification rule set (S102). Moreover, the classification rule set (S102) is converted into a classification rule set (S103) recognized by a data decision-making platform, and then is provided for the data decision-making platform (S104). Therefore, the data decision-making platform (S104) can carry out data decision making according to the classification rule set (S103) recognized by the data decision-making platform (S104). According to the invention, the training of the matrix-form data sample (S101) and the obtaining of the classification rule set (S102) are completed by a computer automatically, thereby avoiding manual operation. When the data sample changes or an original classification rule needs to be updated, an updated classification data set can be obtained timely.

Description

technical field [0001] The embodiments of the present invention relate to computer technology, and in particular to a data processing method and a computer system. Background technique [0002] Data mining (Data Mining, DM) refers to the process of revealing hidden, previously unknown and potentially valuable information from a large amount of data in the database. It is a hot issue in the field of artificial intelligence and database research. Data mining can analyze each data in a large amount of data, find its laws from a large amount of data, analyze enterprise data highly automatically, make inductive reasoning, dig out potential patterns from it, and help decision makers adjust market strategies , reduce risks and make correct decisions. [0003] In recent years, with the rapid development of computing power, storage, and networks, the amount of data accumulated by humans is growing exponentially, and data mining based on massive data has become more and more importan...

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): G06F9/50G06K9/62G06N5/025
CPCG06N20/00G06N20/20G06N5/025
Inventor 彭渊谢元智
Owner HUAWEI CLOUD COMPUTING TECH CO LTD
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