Intelligent tax planning model of aircraft leasing based on big data mining algorithm

Chenxi Ma

doi:10.1117/12.2624567

19 December 2021 Intelligent tax planning model of aircraft leasing based on big data mining algorithm

Chenxi Ma

Proceedings Volume 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain; 121280R (2021) https://doi.org/10.1117/12.2624567
Event: 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, 2021, Macao, China

Abstract

Different aircraft leasing methods will have a certain impact on the financial statements of air transport companies, thus affecting the tax revenue of air transport companies. Therefore, in order to minimize the tax revenue of air transport companies, this paper proposes an intelligent tax planning model of aircraft leasing methods based on big data mining algorithm. Based on the detailed analysis of aircraft leasing methods, this paper explores the influence details of different aircraft leasing methods on financial statements. This paper introduces the widely used tax planning technology, uses big data mining algorithm to deeply mine and obtain the balance sheet information of air transportation companies under different leasing methods, and constructs the tax intelligent planning model, so as to minimize the tax, so as to realize the intelligent tax planning of aircraft leasing. The experimental results show that: under the condition of different aircraft rental quantity, the tax saving amount of the model is greater than the existing model, which fully confirms that the model has better application performance.

Citation Download Citation

Chenxi Ma "Intelligent tax planning model of aircraft leasing based on big data mining algorithm", Proc. SPIE 12128, Second International Conference on Industrial IoT, Big Data, and Supply Chain, 121280R (19 December 2021); https://doi.org/10.1117/12.2624567

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