System, method and device for realizing data mining and storage medium

A data mining and data technology, applied in the direction of visual data mining, structured data retrieval, structured data browsing, etc., can solve the problems of increasing the difficulty of the model, improving the machine learning model, etc., to achieve convenient selection, lower threshold, and improve The effect of matching

Pending Publication Date: 2021-09-14
SHANGHAI SOFTLINE INFORMATION TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to propose a system, method, device and storage medium for realizing data mining, aiming at the process of performing data mining technology in the prior art, it is necessary to construct a machine learning model to carry out data mining, which is A large amount of algorithm learning background is required, which increases the difficulty of creating models and raises the threshold for building machine learning models, so that users can use the model pool to build machine learning models to achieve business predictions without any algorithm learning background, reducing the need for building Threshold for Machine Learning Models

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
  • System, method and device for realizing data mining and storage medium
  • System, method and device for realizing data mining and storage medium
  • System, method and device for realizing data mining and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] Such as figure 1 As shown, a system for realizing data mining includes:

[0051] acquisition module, analysis module, matching module, display module, adjustment module and optimization module;

[0052] Wherein, the acquisition module provides a visual interface to select the application type through the click mode according to the user's own understanding of the business and business demand data, obtains the mold entry data to be analyzed, and sends it to the analysis module;

[0053] The analysis module receives the mold entry data to be analyzed sent by the acquisition module, analyzes whether the mold entry sample data meets the specifications, and sends the qualified mold entry sample data to the matching module;

[0054] The matching module receives the input sample data sent by the analysis module, and matches the data with the machine learning model, and divides the input data into a training set and a verification set, and modifies the parameters of model trai...

Embodiment 2

[0067] A method to implement data mining, such as figure 2 As shown, the process is as follows:

[0068] Step 1, according to the user's own understanding of the business and business needs, provide a visual interface to select the application type through the click mode, and obtain the input data to be analyzed;

[0069] Step 2. Determine whether the current model data meets the requirements for data modeling. If not, retrieve and collect more data. If it is satisfied, perform data preprocessing;

[0070] Step 3, match the corresponding general model according to the restriction conditions, and divide the input data into training set and verification set, and trim the parameters of model training;

[0071] Step 4, judge the current model index, judge whether it meets the requirements, and output the model and model parameters, and save the machine learning model as the final model of business prediction;

[0072] Step 5, if it does not meet, match the data with the corresp...

Embodiment 3

[0081] A device for realizing data mining, such as image 3 As shown, it includes: a processor and a memory, the processor is coupled to the memory, a program for realizing data mining is stored in the memory, and the processor executes the program for realizing data mining to realize the requirements of claim 8 The described method for realizing data mining;

[0082] In the specific implementation process, through the stored data mining method, the application type is selected in the click mode on the visual interface, and according to the corresponding relationship between the input application type and the machine learning model, the adopted model strategy is returned and displayed in the background. By dividing the input data into the training set and the verification set, the model is trained to adjust the parameters, judge whether the model index reaches the qualified threshold, show the user the parameter information and optimization process of the model during construc...

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 system, method and device for achieving data mining and a storage medium, and belongs to the technical field of data mining, and the system comprises an acquisition module, an analysis module, a matching module, a display module, an adjustment module and an optimization module. The method comprises the following steps: selecting an application type in a click mode by using a visual interface, returning an adopted model strategy according to a corresponding relationship between the input application type and a machine learning model, and dividing a training set and a verification set for model-entering data in a background to carry out model training and parameter adjustment, judging whether the model index reaches a qualified threshold value or not; displaying the parameter information and the optimization process of the model during construction to a user, outputting the adopted model and parameters, and storing the machine learning model as a business prediction model, so the business user does not need any algorithm learning background, and the machine learning model is constructed by using a model pool to realize business prediction; the threshold of building the machine learning model by the user is reduced, and the building efficiency of the traditional machine learning model is improved.

Description

technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a system, method, device and storage medium for realizing data mining. Background technique [0002] At present, with the increasingly wide application of computers and networks and the increasing variety of business types in different fields, the amount of information released by major manufacturers on the network is also increasing. From the massive data records related to specific objects, effectively It is becoming more and more important to dig out different types of objects so as to implement different processing schemes for different types of objects. Therefore, it is necessary to study data mining technology so that customers can find the information they need from a large amount of network information [0003] Data mining is a hot issue in the field of artificial intelligence and database research. The so-called data mining refers to the non-trivial proce...

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): G06F16/26G06N20/00
CPCG06F16/26G06N20/00
Inventor 葛福栋徐文杰卑蕾蕾乔茂张逸辰
Owner SHANGHAI SOFTLINE INFORMATION TECH
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