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27 September 2022 Application example of GTD data set analysis in Guatemala terrorist attack cases based on GM (1,1) model
Hao Yuan, Weilan Guo
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Proceedings Volume 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022); 123451I (2022) https://doi.org/10.1117/12.2649115
Event: 2022 International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 2022, Qingdao, China
Abstract
Based on the grey prediction model, some data after GTD treatment of Guatemalan terrorist attacks are analyzed and predicted. Firstly, the grey prediction model is introduced. After understanding the principle of grey prediction model, python tool is used to calculate and accumulate the processed data to obtain the adjacent mean sequence, the application of least squares method, and the modeling. Finally, the prediction model is generated by using the obtained values of ' a ' and ' B '. According to the judgment standard of the prediction time of the model - far less than 0.3, the suitable prediction range of the model is ' suitable for medium and long-term prediction ', which provides a reference model for future data prediction.
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Hao Yuan and Weilan Guo "Application example of GTD data set analysis in Guatemala terrorist attack cases based on GM (1,1) model", Proc. SPIE 12345, International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2022), 123451I (27 September 2022); https://doi.org/10.1117/12.2649115
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KEYWORDS
Data modeling
Statistical modeling
Visual analytics
Visualization
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