The Development Path and Data Mining Mode of Rural Tourism under the Background of Big Data

Abstract

With the advent of the era of mass tourism, rural tourism has received increasing attention from tourism-related personnel, such as the wide application of Internet, cloud computing, and big data technology, making it possible to build a development path for rural tourism based on the background of big data. The purpose of this paper is to study the development path and data mining mode analysis of rural tourism under the background of data and propose a clustering integration algorithm. The article gives an overview of the fit relationship between rural tourism and big data. This paper takes the farm tourism data in area A as the research object and through the data analysis of the rural tourism development path using the clustering integration algorithm; it explores the effectiveness of the clustering integration algorithm in the construction of the rural tourism development path. The experimental results show that compared with the traditional rural tourism development model in 2020, the tourism revenue in 2021 will increase by more than 300,000 yuan.

The Spatial Distribution Pattern and Influencing Factors of Rural Governance Demonstration Villages and Towns in China

“…As for the research on the villages and towns, domestic and foreign scholars have focused on their spatial distribution and influencing factors (Tchetchik et al, 2008; Chen et al, 2019; Yan et al, 2019), the development mode and path (Buark et al, 2004; Huang et al, 2019; Chen et al, 2022), the evolution process and mechanism (Liu and Wu, 2011; Greta et al, 2019; Li, 2019), rural development and protection (Yang, 2017; Brown, 2021; Yan, 2021), as well as rural transformation and revitalization (Chiodo, 2019; Wang and Li, 2022; Zhang and Zhang, 2022). In terms of the research object, the foreign academic focus has been on rural tourism (Maja et al, 2022), smart villages (Król and Hernik, 2022), digital villages (Gao et al, 2022), and related topics.…”

Construction of Rural Tourism Brand Value Management Model from the Perspective of Big Data

“…e rapid development of rural tourism has played a positive role in the economy and life of rural areas [1][2][3]. Since rural tourism has played an important role in promoting economic development and improving living standards in rural areas, vigorously developing the rural tourism industry has gradually become one of the industries promoted by the government [4][5][6].…”

Research on the Human Causes of Coal Mine Roof Accidents Based on Association Analysis

“…It can be used as a text-based early warning tool to prevent accidents [3]. With the development of computer technology, data mining technology has been extended in various fields [1], and currently, Jue Li et al [5] analyzed the accident causation network for text mining of fall from height accidents in the construction industry. Chen [2] established an HFACS analysis model containing six types of accident causal factors and adapted it to the building construction industry based on the current situation of building construction safety and accident statistics.…”