Abstract
In order to explore the relevance of tea culture and the development of the recreation industry, this paper applies big data technology to the analysis of industrial relevance data. According to the selection method of the truncated part of the common distribution form under the left truncated and right censored data, we choose the generalised exponential distribution that the distribution of the truncation point is consistent with the time of interest. In addition, this paper fully analyzes the industrial data, and builds an analysis model of the relevance between tea culture and the development of the recreation industry based on intelligent big data analysis. Finally, this paper collects data through the Internet to conduct experimental analysis, analyzes the design and planning of tea culture and the recreation industry, and conducts experiments to study the relevance between the development of the two industries. Through experimental research, it can be known that the intelligent big data analysis technology constructed in this paper can play a certain role in the analysis of industrial relevance, and it also verifies that tea culture can be associated with the development of the recreation industry.
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No potential conflict of interest was reported by the author(s).
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Lin Qi
Lin Qi, Master of Management, Lecturer. Graduated from the Shenyang ligong University in 2005. Worked in WuXi Vocational Institute of Commerce.Her research interests include Tourism informatization and intellectualization, hotel informatization and Tea culture tourism, more than 10 papers published and 2 book published.