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Research on Active Push Method of Multi-source Patrol Information in Large-Capacity Communication Network

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Advanced Hybrid Information Processing (ADHIP 2019)

Abstract

The traditional large-capacity communication network multi-source patrol information active push method has the defect of poor push effect. For this reason, the active push method of multi-source patrol information in large-capacity communication network is proposed. The differential filtering method is used to preprocess the collected multi-source patrol information, based on the processed multi-source patrol information obtained above. The multi-source patrol information is grouped and clustered to obtain a multi-source patrol information feature set, and the obtained multi-source patrol information feature set is collaboratively filtered to obtain a user-neighbor neighbor multi-source patrol information set. The active push algorithm is used to actively push the nearest neighbor multi-source patrol information, which realizes the active push of multi-source patrol information in the large-capacity communication network. Through experiments, the proposed multi-source patrol information active push method push response time of the large-capacity communication network is 4.1 S less than the traditional method. The proposed multi-source patrol information active push method for large-capacity communication network has better push effect.

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Correspondence to Yan-song Hu .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Hu, Ys. (2019). Research on Active Push Method of Multi-source Patrol Information in Large-Capacity Communication Network. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 301. Springer, Cham. https://doi.org/10.1007/978-3-030-36402-1_51

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  • DOI: https://doi.org/10.1007/978-3-030-36402-1_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36401-4

  • Online ISBN: 978-3-030-36402-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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