Advanced Algorithmic Approaches for Comprehensive Evaluation of Utilization Efficiency in Regional Financial Environmental Protection Funds Using Big Data Analytics

Abstract

In recent years, the financial industry has been in a transition period. The large amount of data that is generated daily and financial transactions are adopted to new technologies such as artificial intelligence and machine learning. This article analyzes whether a regional environmental fund can be utilized efficiently through algorithm analysis by using big data from the typical transaction flow of business in the region. In order to improve the construction of rural tourism information and increase the speed of rural tourism economic development, this paper builds rural tourism information based on big data technology and builds a smart tourism system framework. Moreover, this paper finds out the restrictive factors existing in the development of rural tourism by investigating and analyzing the roles of various users in the development of rural tourism. In addition, this paper uses the data flow diagram to conduct an in-depth analysis of the system business process, analyze the system's functions, determine the system's functional model and object model, draw the system's use cases and determine the system's objects. Furthermore, this paper applies big data technology to the construction of rural tourism informationization according to the actual situation, and obtains the final functional structure framework. Finally, this paper designs an experiment to verify the performance of the system constructed in this paper. From the experimental research, it can be known that the system constructed in this paper meets the expected demand of constructing the system.