Feature mining method of information system operation and maintenance big data based on window function

2021 ◽  
pp. 1-11
Author(s):  
Ruohan Sun ◽  
Meihui Hu ◽  
Jinping Cao ◽  
Wanxing Xiao ◽  
Xinying Guo
Keyword(s):  
Information System ◽  
Big Data ◽  
Feature Vector ◽  
Window Function ◽  
High Dimensional ◽  
Feature Subset ◽  
Mining Method ◽  
System Operation ◽  
Operation And Maintenance ◽  
Feature Mining

In this paper, a window function based feature mining method for the operation and maintenance of big data in information system is proposed. The time clustering feature vector is combined with window function to reduce the dimension of operation and maintenance data of high-dimensional information system. The operation and maintenance data feature subset is segmented according to the similar feature level, and the redundant features of operation and maintenance data are removed to complete the information system operation and maintenance big data feature mining. The simulation results show that the proposed method has better clustering effect, fewer iterations and shorter mining time.

The Research of High-Dimensional Big Data Dimension Reduction Strategy

2015 ◽  
Vol 710 ◽  
pp. 121-126
Author(s):  
Qing Chao Jiang
Keyword(s):  
Feature Selection ◽  
Big Data ◽  
Differential Evolution ◽  
High Dimensional ◽  
Feature Subset ◽  
Redundant Information ◽  
Reduction Strategy ◽  
Mining Algorithm ◽  
Low Dimensional ◽  
Mining Algorithms

With the increase of data dimension, many low dimensional mining algorithms cannot get satisfactory results. With the increase of data dimension, it can produce a large amount of redundant information; this information will greatly reduce the efficiency of mining, increasing the complexity of the mining algorithm. Feature selection is an efficient way to solve the problem; it can remove a lot of irrelevant and redundant features. In this paper, on the basis of Lars algorithm applying differential evolution thought to the extraction of feature subset, puts forward a new method of feature selection, DE - Lars algorithm. Experiments prove that DE - Lars algorithm enhances the precision of reducing dimension of space, effectively solve the problem of "Curse of Dimensionality ".

scholarly journals Research on Enterprise Employee Information System Based On Big Data Analysis

2021 ◽  
Vol 1748 ◽  
pp. 032025
Author(s):  
Jicheng Wang ◽  
Donghai Li ◽  
Zhao Wang ◽  
Taifeng Wan
Keyword(s):  
Information System ◽  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Employee Information
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