Design and research of big data technology based on e-commerce platform

[1] Geng, M., Tian, Z., Jiang, Z., You, Y., Feng, X., Xia, Y., ... & Lu, Y. (2020). PMS-GAN: Parallel multi-stream generative adversarial network for multi-material decomposition in spectral computed tomography. IEEE Transactions on Medical Imaging, 40(2), 571-584. Search in Google Scholar

[2] Faysal, J. A., Rahman, M. A., & Anam, R. (2020). An Efficient Approach for Mining Association Rules from Web Log Data. International Journal of Scientific and Research Publications (IJSRP), 10(12), 644-650. Search in Google Scholar

[3] Limbu, A., & Heiyanthuduwage, S. (2020). An evaluation model for Cloud-based Data mining Systems with Hadoop. In 2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) (pp. 1-6). IEEE. Search in Google Scholar

[4] Zhang, L., Liu, K., Ilham, I., et al. (2022). Application of Data Mining Technology Based on Data Center. Journal of Physics Conference Series, 2146(1), 012017. Search in Google Scholar

[5] Liu, Y. (2020). Optimization of architectural art teaching model based on Naive Bayesian classification algorithm and fuzzy model. Journal of Intelligent and Fuzzy Systems, 39(3), 1-12. Search in Google Scholar

[6] Wu, C., & Jiang, H. (2021). Research on Parallelization of Frequent Itemsets Mining Algorithm. In 2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) (pp. 1-6). IEEE. Search in Google Scholar

[7] Ge, L., Li, J., & Chen, J. (2020). Research on Seafood Traceable Data Based on k-Modes Clustering Algorithm. Journal of Coastal Research, 108(sp1). Search in Google Scholar

[8] Liégeois, V., & Mathysen, J. (2021). The-discursive-power-of-SARS-CoV-2: A frame-semantic analysis of the coronavirus in Belgian institutional communication (DT - FR - GR). In Interdisziplinäre Forschungszugänge zu Wissenschaftskommunikation und Informationsverhalten in der Corona-Pandemie (InFoCoP). Search in Google Scholar

[9] Zouri, M., & Ferworn, A. (2021, January). An ontology-based approach for curriculum mapping in higher education. In 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0141-0147). IEEE. Search in Google Scholar

[10] Peng, Y., Huang, G., Peng, T., Cheng, L., & Wu, H. (2020, July). A Pedestrian Re-identification Method Based on Multi-frame Fusion Part-based Convolutional Baseline Network. In 2020 2nd Symposium on Signal Processing Systems (pp. 49-55). Search in Google Scholar

[11] Sun, L., Chang, Y., Pu, J., et al. (2020). A Weighted Evidence Combination Method Based on the Pignistic Probability Distance and Deng Entropy. Journal of Aerospace Technology and Management, 12(12). Search in Google Scholar

[12] Fan, X., Zhou, J., Xu, Y., & Yang, J. (2021). Corn Diseases Recognition Method Based on Multi-feature Fusion and Improved Deep Belief Network. Search in Google Scholar

[13] Antunes, R., Silva, J. F., & Matos, S. (2020, March). Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (pp. 662-669). Search in Google Scholar

[14] Moravvej, S. V., Joodaki, M., Kahaki, M. J. M., & Sartakhti, M. S. (2021, May). A method based on an attention mechanism to measure the similarity of two sentences. In 2021 7th International Conference on Web Research (ICWR) (pp. 238-242). IEEE. Search in Google Scholar

[15] Wahyudi, E., Sfenrianto, S., Hakim, M. J., Subandi, R., Sulaeman, O. R., & Setiyawan, R. (2019, March). Information retrieval system for searching JSON files with vector space model method. In 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT) (pp. 260-265). IEEE. Search in Google Scholar

[16] Kheerthana, M. S., Sushmitha, K. S., & Geethika, R. (2017). Personalized Document Retrieval Using Text Mining. Search in Google Scholar

[17] Agrawal, A., Mulay, P., Iyer, K., et al. (2021). A Bibliometric Analysis of Distributed Incremental Clustering on Images. Search in Google Scholar

[18] Mohana, H., & Suriakala, D. M. (2021). A New Heuristic Similarity Model to improve the Accuracy for Data Sparsity issues in CF Recommendation Algorithms N H Mohana. Search in Google Scholar

[19] Moescu, A. I., Chivu, R. G., Cescu, T. C., et al. (2020). Using Big Data in Marketing and Advertising: A Case Study. Journal of Emerging Trends in Marketing and Management, 1. Search in Google Scholar

[20] Mh, A., Yvv, B., Rc, A., et al. (2020). Customer experience management in the age of big data analytics: A strategic framework. Journal of Business Research, 116, 356-365. Search in Google Scholar

[21] Karim, S. (2020). Big data: challenges and opportunities in Australia. Global Journal of Business Economics and Management Current Issues, 10(1), 01-20. Search in Google Scholar

[22] Cardoso, F., Varajo, J., & Carvalho, A. (2021). The adoption of Big Data technologies - A challenge for National Statistics Offices. In AMCIS 2021. Search in Google Scholar

[23] Wen-Hao, W. U., Chen, G. B., & Yang, Z. C. (2021). The Application and challenge of Digital Twin technology in Ship equipment. Journal of Physics: Conference Series, 1939(1), 012068 (12pp). Search in Google Scholar

[24] Ianni, M., Masciari, E., Mazzeo, G. M., et al. (2020). Fast and effective Big Data exploration by clustering. Future generation computer systems, 102(Jan.), 84-94. Search in Google Scholar

[25] Zhang, C., & Tan, T. (2020). The Impact of Big Data Analysis on Consumer Behavior. Journal of Physics Conference Series, 1544, 012165. Search in Google Scholar