BIG DATA ANALYSIS MODEL SELECTION AND OPTIMISATION METHODS BASED ON GENETIC ALGORITHMS AND MACHINE LEARNING

Ping Jiang, Jiejie Chen, and Haixia Li

References

  1. [1] A. Albakri, B. Alabdullah, and F. Alhayan, “Blockchain-assisted machine learning with hybrid metaheuristics-empowered cyber attack detection and classification model,”Sustainability, 15(18), 2023, 13887.
  2. [2] S. van Cranenburgh, S. Wang, A. Vij, F. Pereira, and J. Walker,“Choice modeling in the age of machine learning discussionpaper,” Journal of Choice Modelling, 42, 2022, 100340.
  3. [3] A.-M. Stefan, E. Ovreiu, and M. Ciuc, “Comparativeanalysis of web-based machine learning models,” RomanianJournal of Information Technology and Automatic Control-Revista Romana De Informatica Si Automatica, 34(2), 2024,49–64.
  4. [4] M. M. Otoom, “Comparing the performance of 17 machinelearning models in predicting human population growth ofcountries,” International Journal of Computer Science andNetwork Security, 21(1), 2021, 220–225.
  5. [5] C. Cavallaro, V. Cutello, M. Pavone, and F. Zito, “Machinelearning and genetic algorithms: A case study on imagereconstruction,” Knowledge-Based Systems, 284,2024, 111194.
  6. [6] C. Guerrero, I. Lera, and C. Juiz, “Distributed genetic algorithmfor application placement in the compute continuum leveraginginfrastructure nodes for optimization,” Future GenerationComputer Systems, 160, 2024, 154–170.
  7. [7] Y. Sei and A. Ohsuga, “Count estimation with a low-accuracymachine learning model,” IEEE Internet of Things Journal,8(8), 2021, 7079–7088.9
  8. [8] H. Zhang and S. Huang, “EAT-ML: Efficient automatic tuningfor machine learning models in cyber physical system,” Journalof Circuits Systems and Computers, 30(14), 2021, 2150245.
  9. [9] A. A. Diallo, L. Nderu, B. M. Malenje, and G. M. Kikuvi,“Enhancing outlier detection in air quality index data using astacked machine learning model,” Engineering Reports, 6(11),2024, e12936.
  10. [10] M. Xiu, Z.M. Jiang, and B. Adams, “An exploratory study ofmachine learning model stores,” IEEE Software, 38(1), 2021,114–122,.
  11. [11] I. V. Kotenko and I. B. Saenko, “Exploring opportunitiesto identify abnormal behavior of data center users based onmachine learning models,” Pattern Recognition and ImageAnalysis, 33(3), 2023, 368–372.
  12. [12] Z. Gou and Y. Zeng, “Analysis of spatio-temporal behavior ofresearch travelers based on spark big data computing model,”Procedia Computer Science, 228, 2023, 494–501,.
  13. [13] Y. Liu, L. Wang, M. Liu, and C.Z. Xu, “A novel labour divisionstrategy based on fixed response threshold model for warehousesystems,” International Journal of Robotics and Automation,35(2), 2020, 132–139.
  14. [14] Y. Li, X. Song, Y. Tu, and M. Liu, “GAPBAS: Geneticalgorithm-based privacy budget allocation strategy in differ-ential privacy K-means clustering algorithm,” Computers &Security, 139, 2024, 103697.
  15. [15] J. Liu, L. Li, D. Li, and Y. Ou, “SFGA-CPA: A novelscreening correlation power analysis framework based on geneticalgorithm,” Computers, Materials and Continua, 79(3), 2024,4641–4657.
  16. [16] C.T. Hau, D. Gouwanda, C.Y. Low, and F.A. Hanapiah,“Design of ankle rehabilitation robot with antagonisticNitinol wire actuators,” International Journal of Robotics andAutomation, 35(1), 2020, 35–42
  17. [17] E. Rajapackiyam, A. Devi, M.S. Reddy, U. Arumugam, S.Vairavasundaram, I. Vairavasundaram, V. Suresh, “An efficientcomputation offloading in edge environment using geneticalgorithm with directed search techniques for IoT applications,”Future Generation Computer Systems, 158, 2024, 378–390.
  18. [18] S. Ramachandran, M. L. Jayalal, M. Vasudevan, S. Das, andR. Jehadeesan, “Combining machine learning techniques andgenetic algorithm for predicting run times of high performancecomputing jobs,” Applied Soft Computing, 165, 2024,112053.
  19. [19] H. Yang, P. Chen, H. Zhou, and J. Tan, “An efficient positionoptimization method based on improved genetic algorithmand machine learning for sparse array,” AEU - InternationalJournal of Electronics and Communications, 179, 2024, 155312.
  20. [20] S. Huang, “Big data processing and analysis platform basedon deep neural network model,” Systems and Soft Computing,6, 2024, 200107.
  21. [21] P.J.A. Giabbanelli, “Hybrid models that combine machinelearning and simulations,” Computing in Science & Engineer-ing, 24(5), 2022, 72–76.
  22. [22] L. Cui, “A label learning approach using competitive populationoptimization algorithm feature selection to improve multi-labelclassification algorithms,” Journal of King Saud University-Computer and Information Sciences, 36(5), 2024, 102083.
  23. [23] R.M. Hussien, A.A. Abohany, A.A. Abd El-Mageed, and K.M.Hosny, “Improved binary meerkat optimization algorithm forefficient feature selection of supervised learning classification,”Knowledge-Based Systems, 292., 2024, 111616.
  24. [24] S. Latif, W. Boulila, A. Koubaa, Z. Zou, and J. Ahmad, “DTL-IDS: An optimized intrusion detection framework using deeptransfer learning and genetic algorithm,” Journal of Networkand Computer Applications, 221, , 2024, 103784.
  25. [25] S.K.R. Moosavi, A. Saadat, Z. Abaid, W. Ni, K. Li, andM. Guizani, “Feature selection based on dataset varianceoptimization using hybrid sine cosine–Firehawk algorithm(HSCFHA),” Future Generation Computer Systems, 155, 2024,272–286.
  26. [26] Z. Lei, Y. Chen, and M.K. Lim, “Modelling and analysis ofbig data platform group adoption behaviour based on socialnetwork analysis,” Technology in Society, 65, 2021, 101570.
  27. [27] E. Ramalli, T. Dinelli, A. Nobili, A. Stagni, B. Pernici, andT. Faravelli, “Automatic validation and analysis of predictivemodels by means of big data and data science,” ChemicalEngineering Journal, 454, , 2023, 140149.
  28. [28] Q. Wei and L. Qingna, “Construction of cultural industrydevelopment factor model based on factor analysis, artificialintelligence and big data,” Microprocessors and Microsystems,82, 2021, 103880.
  29. [29] M. Hussain, L.-F. Wei, A. Rehman, M. Ali, S.M. Waqas, andF. Abbas, “Cost-aware quantum-inspired genetic algorithm forworkflow scheduling in hybrid clouds,” Journal of Parallel andDistributed Computing, 191, 2024, 104920.
  30. [30] J. Li, X. Yang, Y. Yang, and X. Liu, “Cooperative mapping taskassignment of heterogeneous multi-UAV using an improvedgenetic algorithm,” Knowledge-Based Systems, 296, 2024,111830.

Important Links:

Go Back