Abstract
This paper mainly discusses the idea of building local cultural brand, and then puts forward the realization method based on the improved Apriori algorithm. Through research, the improved Apriori algorithm has more advantages than the classical algorithm, and can better fit the local cultural brand building ideas to provide suggestions to manual workers, so as to ensure the quality of shaping results.
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References
Zhang, Y., Wang, C.: Research on intelligent management of student achievement data based on improved Apriori algorithm. In: 2021 International Conference on Public Management and Intelligent Society (PMIS) (2021)
Pratama, A., Mulyawan, B., Sutrisno, T.: Implementation of improved Apriori algorithm for drug planograms in XYZ pharmacies and analysis of medicinal procurement planning using ABC critical index methods. In: IOP Conference Series: Materials Science and Engineering, vol. 1007, no. 1, p. 012186 (2020). (7pp)
Singh, P.K., Othman, E., Ahmed, R., et al.: Optimized recommendations by user profiling using apriori algorithm. Appl. Soft Comput. 106, 107272 (2021)
Lakshmi, N., Krishnamurthy, M.: Frequent itemset generation using association rule mining based on hybrid neural network based billiard inspired optimization. J. Circ. Syst. Comput. 31(08) (2022)
Krishna, B., Amarawat, G.: Data mining in frequent pattern matching using improved Apriori algorithm. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds.) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol. 813, pp. 699–709. Springer, Singapore. https://doi.org/10.1007/978-981-13-1498-8_61
Xiaoguang, Z.U., Chen, M., Liu, T., et al.: Present situation and prospect of comprehensive planting and culture in paddy fields in northeast China. Asian Agric. Res. 14(2), 54–56 (2022)
Zhang, C., Teng, G.: Application of an improved association rule algorithm in rural development assessment in China. In: IOP Conference Series Earth and Environmental Science, vol. 772, no. 1, pp. 012089 (2021)
Lu, P.H., Keng, J.L., Tsai, F.M., et al.: An Apriori algorithm-based association rule analysis to identify Acupoint combinations for treating diabetic gastroparesis. Evid. Based Complement. Altern. Med. 2021(17), 1–9 (2021)
Sokhangoee, Z.F., Rezapour, A.: A novel approach for spam detection based on association rule mining and genetic Algorithm. Comput. Electr. Eng. 97, 107655 (2022)
Liu, Y., Hu, X., Luo, X., et al.: Identifying the most significant input parameters for predicting district heating load using an association rule Algorithm. J. Cleaner Prod. 275(12), 122984 (2020)
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Liu, Q., Zhao, Y., She, X. (2023). Local Culture Brand Building Method Based on Improved Apriori Algorithm. In: Hung, J.C., Chang, JW., Pei, Y. (eds) Innovative Computing Vol 2 - Emerging Topics in Future Internet. IC 2023. Lecture Notes in Electrical Engineering, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-99-2287-1_39
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DOI: https://doi.org/10.1007/978-981-99-2287-1_39
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