Multidimensional Data Sensitivity Calculation and Classification Based on Information Entropy

被引：0
|
作者：
Guo, Qian [1 ]
Xu, Chao [2 ]
Zou, Yunfeng [2 ]
Zhao, Lei [2 ]
机构：
[1] State Grid Smart Grid Res Inst Co Ltd, Nanjing, Peoples R China
[2] State Grid Jiangsu Mkt Serv Ctr, Nanjing, Peoples R China
来源：
PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ARTIFICIAL INTELLIGENCE, PEAI 2024 | 2024年
关键词：
component; data sensitivity; information entropy; data availability; data relevance; data quality; power sensitive data;
D O I：
10.1145/3674225.3674339
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to evaluate the sensitivity of power data in business systems, the combined entropy of multi-dimensional attributes of data is used to calculate and classify data sensitivity. First, preprocess the power data, and then calculate the power data information entropy; then, filter the features through their information gain ratio and drift degree to reduce redundant and unstable features; finally, combine the availability and correlation of the data and quality, completing the calculation and grading of data sensitivity. This method fully considers the difference in sensitivity of different attribute information, can effectively and accurately measure the sensitivity of data, and improves the robustness of data sensitivity calculation.
引用
收藏
页码：624 / 628
页数：5
相关论文
共 50 条
  • [21] A Case Retrieval Method of Hybrid Data Based on Information Entropy
    Hu, Jian
    Sun, JinHua
    2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2016, : 155 - 159
  • [22] Fuzzy-rough data reduction based on information entropy
    Zhao, Jun-Yang
    Mang, Zhi-Li
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 3708 - 3712
  • [23] Application of Decision Tree Classification Method Based on Information Entropy to Web marketing
    Li Xiaowei
    2014 SIXTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2014, : 121 - 127
  • [24] A Novel Approach for Associative Classification Based on Information Entropy of Frequent Attribute Set
    Cao, Wenyu
    Zhong, Qiuyan
    Li, Haifeng
    Liang, Shuyuan
    IEEE ACCESS, 2020, 8 (08): : 140181 - 140193
  • [25] Classification Algorithm Based on Information Entropy and Least Square Support Vector Machines
    Bao, Q. J. B.
    Song, C. Y.
    Zhao, H. Y.
    Tang, J. Q.
    ITESS: 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES, PT 2, 2008, : 104 - 110
  • [26] Calculation method of Chinese public event information entropy
    Jin R.
    Zhang H.-L.
    Zhang Y.
    Wang X.
    Ruan Jian Xue Bao/Journal of Software, 2016, 27 (11): : 2855 - 2869
  • [27] A New Approach For Noise Data Detection Based on Cluster and Information Entropy
    Zhou, Xiaofeng
    Zhang, Yonglai
    Hao, Shengxuan
    Li, Shuai
    2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2015, : 1416 - 1419
  • [28] Information entropy based sample reduction for support vector data description
    Li, DongDong
    Wang, Zhe
    Cao, Chenjie
    Liu, Yu
    APPLIED SOFT COMPUTING, 2018, 71 : 1153 - 1160
  • [29] An incremental feature selection approach based on information entropy for incomplete data
    Luo, Chuan
    Li, Tianrui
    Yi, Zhang
    IEEE 17TH INT CONF ON DEPENDABLE, AUTONOM AND SECURE COMP / IEEE 17TH INT CONF ON PERVAS INTELLIGENCE AND COMP / IEEE 5TH INT CONF ON CLOUD AND BIG DATA COMP / IEEE 4TH CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2019, : 483 - 488
  • [30] Global sensitivity analysis of roof hazard factors based on information entropy and the surrogate model
    Zhang, Guowei
    Ren, Ting
    Han, Jun
    SCIENTIFIC REPORTS, 2025, 15 (01):
12345