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Preface to the Special Issue on “Computational and Mathematical Methods in Information Science and Engineering”

Author

Listed:
  • Wen Zhang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Xiaofeng Xu

    (College of Economics and Management, China University of Petroleum, Qingdao 266580, China)

  • Jun Wu

    (College of Economics and Management, Beijing University of Chemical Technology, Beijing 100013, China)

  • Kaijian He

    (College of Tourism, Hunan Normal University, Changsha 410081, China)

Abstract

With the emergence of big data and the resulting information explosion, computational and mathematical methods provide effective tools to handle the vast amounts of data and information used in big data analytics, knowledge discovery and distillation, and decision-making for solving complex problems in the world [...]

Suggested Citation

  • Wen Zhang & Xiaofeng Xu & Jun Wu & Kaijian He, 2023. "Preface to the Special Issue on “Computational and Mathematical Methods in Information Science and Engineering”," Mathematics, MDPI, vol. 11(14), pages 1-4, July.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3187-:d:1198690
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    References listed on IDEAS

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    1. Bai Liu & Xiangyi Zhang & Runhua Shi & Mingwu Zhang & Guoxing Zhang, 2022. "SEPSI: A Secure and Efficient Privacy-Preserving Set Intersection with Identity Authentication in IoT," Mathematics, MDPI, vol. 10(12), pages 1-19, June.
    2. K. Jeganathan & M. Abdul Reiyas & S. Selvakumar & N. Anbazhagan & S. Amutha & Gyanendra Prasad Joshi & Duckjoong Jeon & Changho Seo, 2022. "Markovian Demands on Two Commodity Inventory System with Queue-Dependent Services and an Optional Retrial Facility," Mathematics, MDPI, vol. 10(12), pages 1-22, June.
    3. Peiyue Cheng & Guitao Zhang & Hao Sun, 2022. "The Sustainable Supply Chain Network Competition Based on Non-Cooperative Equilibrium under Carbon Emission Permits," Mathematics, MDPI, vol. 10(9), pages 1-31, April.
    4. Chengliang Wang & Feifei Yang & Quan-Lin Li, 2023. "Optimal Decision of Dynamic Bed Allocation and Patient Admission with Buffer Wards during an Epidemic," Mathematics, MDPI, vol. 11(3), pages 1-23, January.
    5. Xin Cao & Qin Luo & Peng Wu, 2022. "Filter-GAN: Imbalanced Malicious Traffic Classification Based on Generative Adversarial Networks with Filter," Mathematics, MDPI, vol. 10(19), pages 1-17, September.
    6. Erjiang E & Ming Yu & Xin Tian & Ye Tao, 2022. "Dynamic Model Selection Based on Demand Pattern Classification in Retail Sales Forecasting," Mathematics, MDPI, vol. 10(17), pages 1-16, September.
    7. Jun Wu & Xin Liu & Yuanyuan Li & Liping Yang & Wenyan Yuan & Yile Ba, 2022. "A Two-Stage Model with an Improved Clustering Algorithm for a Distribution Center Location Problem under Uncertainty," Mathematics, MDPI, vol. 10(14), pages 1-17, July.
    8. Mengli Fan & Yi Huang & Wei Xing, 2022. "Information Acquisition for Product Design in a Green Supply Chain," Mathematics, MDPI, vol. 10(7), pages 1-16, April.
    9. Kaijian He & Don Wu & Yingchao Zou, 2022. "Tourist Arrival Forecasting Using Multiscale Mode Learning Model," Mathematics, MDPI, vol. 10(16), pages 1-12, August.
    10. Yu-Kai Weng & Cheng-Han Li & Chia-Chun Lai & Ching-Wei Cheng, 2022. "Equation for Egg Volume Calculation Based on Smart’s Model," Mathematics, MDPI, vol. 10(10), pages 1-9, May.
    11. Maryam Cheema & Muhammad Amin & Tahir Mahmood & Muhammad Faisal & Kamel Brahim & Ahmed Elhassanein, 2023. "Deviance and Pearson Residuals-Based Control Charts with Different Link Functions for Monitoring Logistic Regression Profiles: An Application to COVID-19 Data," Mathematics, MDPI, vol. 11(5), pages 1-13, February.
    12. Yuan Wang & Liping Yang & Jun Wu & Zisheng Song & Li Shi, 2022. "Mining Campus Big Data: Prediction of Career Choice Using Interpretable Machine Learning Method," Mathematics, MDPI, vol. 10(8), pages 1-18, April.
    13. Yunqi Jiang & Huaqing Zhang & Kai Zhang & Jian Wang & Shiti Cui & Jianfa Han & Liming Zhang & Jun Yao, 2022. "Reservoir Characterization and Productivity Forecast Based on Knowledge Interaction Neural Network," Mathematics, MDPI, vol. 10(9), pages 1-22, May.
    14. Zhenpeng Li & Ling Ma & Simin Chi & Xu Qian, 2022. "Structural Balance under Weight Evolution of Dynamic Signed Network," Mathematics, MDPI, vol. 10(9), pages 1-21, April.
    15. Yifei Zhao & Jianhong Chen & Shan Yang & Yi Chen, 2022. "Mining Plan Optimization of Multi-Metal Underground Mine Based on Adaptive Hybrid Mutation PSO Algorithm," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
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