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A data mining method and data mining system

A data mining and data technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as large amount of calculation, achieve the effect of improving processing speed and optimizing data processing flow

Active Publication Date: 2017-03-15
CHANGCHUN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a data mining method, which solves the problem that the existing existing data mining methods have a large amount of calculation

Method used

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  • A data mining method and data mining system
  • A data mining method and data mining system
  • A data mining method and data mining system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] A. Data separation

[0041] Extract several sampled data from the data source, calculate the distribution relationship of the sampled data, and separate the remaining data in the data source according to the distribution relationship of the sampled data to form several data sets. The characteristic elements contained in each sampled data are: The eigenvector of its corresponding data set;

[0042] B. Data screening

[0043] Determine the weight value of each element in the feature vector according to the selected filter conditions, filter the data set in order of weight value from high to low, and modify the elements of the feature vector and their weight values ​​according to the filtering results;

[0044] C. Data iterative processing

[0045] Such as figure 2 In the iterative processing steps shown, the iterative matrix is ​​set according to the format of the target set, the data set is multiplied by the iterative matrix, and then multiplied by the corrected eige...

Embodiment 2

[0061] A. Data separation

[0062] Extract several sampled data from the data source, calculate the distribution relationship of the sampled data, and separate the remaining data in the data source according to the distribution relationship of the sampled data to form several data sets, and reserve between two adjacent data sets There is an overlapping area of ​​10% to 15%, and the feature elements contained in each sampled data are the feature vectors of the corresponding data set;

[0063] B. Data screening

[0064] Determine the weight value L of each element in the feature vector according to the selected filter conditions, filter the data set in sequence according to the order of the weight value from high to low, and modify the elements of the feature vector and their weight values ​​according to the filtering results; Correction The formula is as follows:

[0065]

[0066] Among them, x is an element in the data set, y is the original element of the feature vector ...

Embodiment 3

[0084] A. Data separation

[0085] Extract several sampled data from the data source, calculate the distribution relationship of the sampled data, and separate the remaining data in the data source according to the distribution relationship of the sampled data to form several data sets. The characteristic elements contained in each sampled data are: The eigenvector of its corresponding data set;

[0086] B. Data screening

[0087] Determine the weight value of each element in the feature vector according to the selected filter conditions, filter the data set in order of weight value from high to low, and modify the elements of the feature vector and their weight values ​​according to the filtering results; modify the formula as follows:

[0088]

[0089]

[0090] Among them, x is the element in the data set, y is the original element of the feature vector corresponding to x, and d is the range of the filtered data.

[0091] C. Data iterative processing

[0092] Such ...

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Abstract

The invention discloses a data mining method and a data mining system. The method includes the following steps of (A) data separation, (B) data sieving, (C) data iterative processing, (D) data normalization and (E) result judgment. The method and the system can overcome defects in the prior art, and processing speed of data mining with a large data quantity is remarkably increased by optimizing the data processing procedure.

Description

technical field [0001] The invention belongs to the technical field of data mining, and relates to a data mining method and a data mining system. Background technique [0002] Data mining (Data Mining, DM) is a hot issue in the field of artificial intelligence and database research. The so-called data mining refers to the non-trivial process of revealing hidden, previously unknown and potentially valuable information from a large amount of data in the database. . Data mining is a decision support process, which is mainly based on artificial intelligence, machine learning, pattern recognition, statistics, database, visualization technology, etc., to analyze enterprise data highly automatically, make inductive reasoning, and dig out potential The model helps decision makers adjust market strategies, reduce risks, and make correct decisions. Existing data mining methods generally have a large amount of calculation, and the problem of slow response often occurs when facing a d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/215
Inventor 刘艳秋王小虎王春影胡婷丁健生闻喆王旭
Owner CHANGCHUN UNIV OF TECH
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