Target detection network and data mining application for industrial economic analysis

被引:0
|
作者
Qiu, Ting [1 ]
机构
[1] Jingdezhen Ceram Univ, Sch Econ & Management, Jingdezhen 333403, Peoples R China
关键词
Data mining technology; Edge technology; Industrial ecology; Target detection;
D O I
10.1007/s13198-023-02172-z
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Because a large amount of data is generated during network operation, data mining technology plays an important role in obtaining valuable information. Therefore, research on optimizing the industrial ecological network in the context of industrial ecology and economic development should formulate industrial policies that are compatible with the new situation and new demand structure, and accelerate the process of regime change, adapting to the structure, and supporting upgrades. Ultimately realize sustainable development, realize the development of industrial environment and economic development, environmental development and sustainable economy have educational and practical value. This article is based on a series of timeline and economic analysis methods, using EViews software 8.0, SPSS 20.0 software and Matlab 2012a to update the timeline data, Which promoted the establishment of the first partition of the ARIMA model, the gray estimation model and the discrete equation time series estimation model of the forecasting model.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] ON THE APPLICATION OF ROUGH SETS TO DATA MINING IN ECONOMIC PRACTICE
    Zhang, Qun-Feng
    Zhao, Su-Yun
    Bai, Yun-Chao
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 272 - +
  • [22] Application of Data Mining Techniques in Intrusion Detection
    Li Min
    CALL OF PAPER PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, 2008, : 1273 - 1277
  • [23] Research on the Application of Social Network Data Mining Technology in Crime Analysis and Prevention
    Xiong, Wan Duan
    Chong, Wang Yu
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [24] Analysis and application of the computer network information data mining based on clustering algorithm
    Shi, Zequan
    Wang, Ying
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ELECTRONIC TECHNOLOGY, 2015, 6 : 168 - 171
  • [25] Financial fraud: Data mining application and detection
    Aziz, N. H. A.
    Zakaria, N. B.
    Mohamed, I. S.
    RECENT TRENDS IN SOCIAL AND BEHAVIOUR SCIENCES, 2014, : 341 - 344
  • [26] The Application of Data Mining in Data Processing of Direct Network Report
    Xing Jinguo
    Ke Fang
    Xiao Chen
    RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II, 2009, : 991 - 996
  • [27] Drug-target network of taxanes revealed by data mining
    Chen, Shao-Jun
    Wei-Cai
    Li, Zhao-Hui
    PAKISTAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2018, 31 (02) : 485 - 489
  • [28] Data mining for vortices on the Earth's magnetosphere - algorithm application for detection and analysis
    Collado-Vega, Yaireska M.
    Kalb, Virginia L.
    Sibeck, David G.
    Hwang, Kyoung-Joo
    Rastatter, Lutz
    ANNALES GEOPHYSICAE, 2018, 36 (04) : 1117 - 1129
  • [29] Application of Data Mining for Crime Analysis
    Nasridinov, Aziz
    Byun, Jeong-Yong
    Um, Namkyoung
    Shin, HyunSoon
    ADVANCED MULTIMEDIA AND UBIQUITOUS ENGINEERING: FUTURE INFORMATION TECHNOLOGY, VOL 2, 2016, 354 : 503 - 508
  • [30] Application of the Data Mining Technology in the Economic Management in the Age of Big Data
    Luo, Wenbiao
    CYBER SECURITY INTELLIGENCE AND ANALYTICS, 2020, 928 : 9 - 14