A new data mining method for time series in visual analysis of regional economy

被引：5
作者：
Bai, Yang [1 ]
Zhao, Min [1 ]
Li, Rong [2 ]
Xin, Peizhu [1 ]
机构：
[1] Hohai Univ, Business Sch, Nanjing 211100, Peoples R China
[2] Hohai Univ, Foreign Language Sch, Nanjing 211100, Peoples R China
来源：
INFORMATION PROCESSING & MANAGEMENT | 2022年 / 59卷 / 01期
关键词：
Time series; Regional economy; Visualization; FINANCIAL RISK;
D O I：
10.1016/j.ipm.2021.102741
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve the effect of visual analysis of regional economy, this paper uses machine learning algorithms to analyze time series data, uses various models and methods of intelligent data analysis to mine data laws from huge data, statistical data reports, and find problems in economic development. Moreover, this paper combines the time series algorithm to design and plan the functional structure of the system, and design a separate module structure from the actual situation of regional economic analysis, and build a model system from the overall structure. After constructing the system, this paper tests the system. From the results of the experimental research, we can see that the regional economic visualization system based on time series constructed in this paper has perfect system functions and can meet the needs of regional economic analysis.
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页数：15
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共 25 条
  • [1] Ataka K., 2014, RESUSCITATION, V96, P84
  • [2] Back to the Future: Economic Self-Organisation and Maximum Entropy Prediction
    Barde, Sylvain
    [J]. COMPUTATIONAL ECONOMICS, 2015, 45 (02) : 337 - 358
  • [3] Learning regularity in an economic time-series for structure prediction
    Bhattacharya, Diptendu
    Mukhoti, Jishnu
    Konar, Amit
    [J]. APPLIED SOFT COMPUTING, 2019, 76 : 31 - 44
  • [4] Technological unemployment and income inequality: a stock-flow consistent agent-based approach
    Carvalho, Laura
    Di Guilmi, Corrado
    [J]. JOURNAL OF EVOLUTIONARY ECONOMICS, 2020, 30 (01) : 39 - 73
  • [5] Physically-attractive males increase men's financial risk-taking
    Chan, Eugene Y.
    [J]. EVOLUTION AND HUMAN BEHAVIOR, 2015, 36 (05) : 407 - 413
  • [6] Identifying Hospitals That May Be At Most Financial Risk From Medicaid Disproportionate-Share Hospital Payment Cuts
    Cole, Evan S.
    Walker, Daniel
    Mora, Arthur
    Diana, Mark L.
    [J]. HEALTH AFFAIRS, 2014, 33 (11) : 2025 - 2033
  • [7] Economic MPC for a Changing Economic Criterion for Linear Systems
    Ferramosca, Antonio
    Limon, Daniel
    Camacho, Eduardo F.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (10) : 2657 - 2667
  • [8] Gantino R., 2015, RES J FINANC ACCOUNT, V6, P48
  • [9] MLP neural network-based regional logistics demand prediction
    Guo, Hongpeng
    Guo, Cheng
    Xu, Beichun
    Xia, Yujie
    Sun, Fanhui
    [J]. NEURAL COMPUTING & APPLICATIONS, 2021, 33 (09) : 3939 - 3952
  • [10] Time-lagged effects of weekly climatic and socio-economic factors on ANN municipal yard waste prediction models
    Hoang Lan Vu
    Ng, Kelvin Tsun Wai
    Bolingbroke, Damien
    [J]. WASTE MANAGEMENT, 2019, 84 : 129 - 140
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