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- W4313289319 abstract "In this paper, the PrefixSpnan algorithm is improved, and a sequence dynamic simulation algorithm based on big data micro-propagation is proposed, which can greatly reduce the number of constructions of educational information transmission, thereby improving the mining efficiency. In addition, the algorithm proposes the concept of sequential pattern value, by calculating the sequential pattern value of each frequent sequence. Summarizing the development of sequential pattern mining algorithm and the challenges and requirements of data stream mining, a single-machine data stream based on sliding window and compressed prefix tree is proposed. Sequential Pattern Mining Algorithms. Apply the Map-Reduce-based BLSPM algorithm to educational information transmission. First, analyze the school's historical data, clean it, sample it, etc., to convert it into a sequence database, and then use the Map-Reduce-based BLSPM algorithm for mining." @default.
- W4313289319 created "2023-01-06" @default.
- W4313289319 creator A5052966909 @default.
- W4313289319 date "2022-09-21" @default.
- W4313289319 modified "2023-09-27" @default.
- W4313289319 title "Application of Big Data Micro-Propagation Dynamic Sequence Mode in Education Informatization Transmission" @default.
- W4313289319 doi "https://doi.org/10.1109/icirca54612.2022.9985561" @default.
- W4313289319 hasPublicationYear "2022" @default.
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