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RETRACTED: Network security of prefix span algorithm for data mining (Retracted Article)

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2019年第3期37卷 3231-3237页

作者： Zhang, Renshang Shanxi Univ Finance & Econ Fac Informat Management Taiyuan Shanxi Peoples R China

In order to strengthen the overall security of the network, this paper analyzes the network security issues. The study of the network security is carried out based on the prefix span algorithm for data mining. The classical data mining algorithm, prefix span algorithm and its improvement are proposed. Then, combined with the characteristics of network security, the proposed algorithm is applied to network security intrusion detection. From the algorithm flow and evaluation model, an optimization and update scheme is proposed, and an effective data transmission evaluation model is established by effectively evaluating the status of data analysis. The experimental results show that the efficiency of the algorithm is higher than the original one. In the long sequence mode mining, the algorithm has more advantages and can better meet the high requirements of intrusion detection. However, due to the diversity and complexity of intrusion methods, data mining still needs deeper research and performance improvement in intrusion detection.

关键词： prefix span algorithm data mining cyber security

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A Improved prefix span algorithm For Sequential Pattern Mining

A Improved Prefix Span Algorithm For Sequential Pattern Mini...

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2014 IEEE 5th International Conference on Software Engineering and Service Science

作者： Liang Dong Wang hong Institute of Information Science and Engineering Shandong Normal University Computer Software Novel Technology Shandong Provincial Key Laboratory for Distributed Shandong Normal University Computer Software Novel Technology

Aiming at the problem of constructing huge amounts of projected databases in prefix span algorithm,this paper proposes an Improved prefix span algorithm for Mining Sequential Patterns,called BLSPM algorithm（based on bi-level Sequential Patterns Mining）.The algorithm use duplicated projection and certain specific sequential patterns pruning,reduce the scale of projected databases and the runtime of scanning projected databases,thus,the efficiency of algorithm could be raised up greatly,and all needed sequential patterns are *** results shows that BLSPM algorithm is more efficient than prefix span algorithm in large databases.

关键词： sequential pattern prefix span algorithm prejected database

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