Forecasting of Computer Network Anomalous States Based on Sequential Pattern Analysis of “Historical Data”

Sheluhin, Oleg I.; Kostin, D.; Polkovnikov, Mikhail

doi:10.3103/s0146411621060067

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…Network communication environment is the transmission channel of the information resource management platform, the platform for information transmission, exchange, and distribution, which provides a shared platform for information management and analysis and communication support for information exchange. Data center is the main component of the tourism information management platform, and it is the center of storage, integration, exchange, and management of a lot of tourism information [15]. GIS environment is supported by technology, and a multisite information system framework is established to provide suitable integration areas for location data and various data types.…”

Section: Digital Management System Of Tourism Information Resourcesmentioning

confidence: 99%

Digital Management and Optimization of Tourism Information Resources Based on Machine Learning

Zhuang¹,

Jiao

Li³

2022

International Transactions on Electrical Energy Systems

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With the gradual growth of economy, tourism has become a pillar industry in many countries and plays an important role in promoting national development. The individualization and diversification of tourism resources must be supported by a powerful information resource management system. However, the traditional tourism information resource management system has some problems, such as scattered sources of tourism information, low interactivity, and slow update of information resources. Tourists cannot get detailed information of scenic spots and make detailed plans for tourism which hinder the further development of the tourism industry. In order to solve these problems and promote the development of the tourism industry, this paper carried out digital management of tourism information based on machine learning and digital management of information resources of different tourist attractions and surveyed and tested the number of tourists, expenditure of scenic spots, income of scenic spots, and satisfaction of tourists. The total result showed that the digital management of tourism information resources in scenic spots can increase the passenger flow, increase the income of scenic spots, reduce the expenditure of scenic spots by 6.7%, and increase the satisfaction of tourists by 4.1%. The digital management of tourism information resources based on machine learning can optimize the tourism industry and promote its development.

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Section: Digital Management System Of Tourism Information Resourcesmentioning

confidence: 99%

Digital Management and Optimization of Tourism Information Resources Based on Machine Learning

Zhuang¹,

Jiao

Li³

2022

International Transactions on Electrical Energy Systems

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Evolution of Service Cross-border E-commerce Network Pattern based on PageRank Algorithm

Li¹

2022

2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing &Amp; Communicatio

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Forecasting of Computer Network Anomalous States Based on Sequential Pattern Analysis of “Historical Data”

Cited by 2 publications

References 23 publications

Digital Management and Optimization of Tourism Information Resources Based on Machine Learning

Digital Management and Optimization of Tourism Information Resources Based on Machine Learning

Evolution of Service Cross-border E-commerce Network Pattern based on PageRank Algorithm

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