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Intersectional Industry Based on Data Mining

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Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1385))

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Abstract

With the rapid development of maritime communication network technology and the increase of various business requirements, the design and development of maritime communication technology and network architecture in the next stage has become the core focus of academia and industry. The traditional maritime communication network is based on VI HF, MF, if and other technologies of ship communication, maritime satellite communication and remote ship to ship, ship to shore communication. However, with the development and application of various wireless network access technologies at sea, today’s communication system has faced the bottle of technical parameters. Due to the limitation of many factors, such as access technology, network control and management mechanism, how to efficiently utilize and integrate the resources of maritime communication network is a hot research topic. The current maritime wireless communication network and technology presents a variety of maritime network collaborative communication, and integration, ubiquitous evolution and development trend. Ants have the ability to find the shortest path between the ant nest and the food source. Inspired by this, the ant colony algorithm is initially used to solve the traveling salesman problem. It has many characteristics such as adaptability, robustness and parallelism in essence. It is widely used in various static and dynamic combinatorial optimization problems, and has potential application prospects.

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Gao, Y. (2021). Intersectional Industry Based on Data Mining. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2021. Advances in Intelligent Systems and Computing, vol 1385. Springer, Cham. https://doi.org/10.1007/978-3-030-74814-2_135

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