Research on Hubei Tourism Talent Demand and University Tourism Education Training Model Based on Computer Big Data Mining Technology

Author:

Fan Huanhuan

Abstract

Abstract The data processing technology in the training and construction of tourism talents can well integrate the complex data, make it more concrete and visualized and effectively reflect the real situation of campus construction. The use of computers can organically link the parents of students with the school. Parents of students can understand the learning situation of the students at any time and carry out education work for the students in time, which is conducive to the improvement of student performance. At the same time, data processing technology still has certain drawbacks in the actual use process and relevant educators need to continuously explore new processing schemes and improve education. The data processing technology of the campus should also fully integrate the actual situation of the school, implement the data processing work seriously and build the training of tourism talents. The scope of tourism talent training is becoming wider and wider and data processing technology plays an important role in it. Therefore, in the process of tourism talent training and construction, it is necessary to accurately grasp the data processing technology and explore more efficient office models. In the actual construction process of tourism talent training, it can be found that there are still many problems, because the construction of tourism talent training sites still lacks certain theoretical guidance and the construction of tourism talent training is blind, which causes the construction of tourism talent training to not give full play. Its theoretical effect.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference6 articles.

1. Local structured feature learning with dynamic maximum entropy graph [J];Wang;Pattern Recognition,2021

2. Study Results from International Hellenic University Broaden Understanding of Data Mining (Proposed S-algo Plus Data Mining Algorithm for Web Platforms Course Content and Usage Evaluation) [J],2020

3. Big Data Mining Analysis of Key Indicators of Online New Energy Vehicles [J];Gu;Journal of physics. Conference series,2020

4. Research on Electricity Information Acquisition System Based on Sample Data Mining Model [J];Dang;Journal of physics. Conference series,2020

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3