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Design of Information Security Access System in the Power Grid Based on improved bayesian algorithm

WIRELESS PERSONAL COMMUNICATIONS 2022年第1期127卷 543-559页

作者： Liu, Wenwen Wu, Haolan Yu, Fei Wei, Qiang State Key Lab Math Engn & Adv Comp Zhengzhou 450000 Peoples R China

Aiming at the problems existing in the traditional power grid information security access system, such as poor data processing timeliness, low recall rate and low information filtering accuracy, a power grid information security access system based on improved bayesian algorithm is proposed. In the part of hardware design, the data source layer, data acquisition layer, data access layer, data storage layer, bus layer, application support layer and application layer are designed from bottom to top according to the idea of layered design, and the application support suite and main function modules of the system are developed. In the part of software design, the traditional bayesian algorithm is improved, and the improved algorithm is used to construct the internal information filter of the power grid, which is applied in the information security access system to realize the security access of the internal information of the power grid. The experimental results show that compared with the traditional system, the information security access system based on improved bayesian algorithm has better data processing timeliness, higher recall rate and higher information filtering accuracy, and its application advantages are more obvious.

关键词： improved bayesian algorithm Internal information of power grid Information filtering Information access system

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Web multimedia information retrieval using improved bayesian algorithm

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Journal of Zhejiang University Science 2003年第4期4卷 415-420页

作者：余铁军陈纯余铁民林怀忠 DepartmentofComputerScience&Engineering ZhejiangUniversityHangzhou310027China

The main thrust of this paper is application of a novel data mining approach on the log of user' s feedback to improve web multimedia information retrieval performance. A user space model was constructed based on data mining, and then integrated into the original information space model to improve the accuracy of the new information space model. It can remove clutter and irrelevant text information and help to eliminate mismatch between the page author' s expression and the user' s understanding and expectation. User spacemodel was also utilized to discover the relationship between high-level and low-level features for assigning weight. The authors proposed improved bayesian algorithm for data mining. Experiment proved that the au-thors' proposed algorithm was efficient.

关键词： Relevant feedback Web log mining improved bayesian algorithm User space model

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Web user log mining for web retrieval

Web user log mining for web retrieval

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IEEE Region 10 Technical Conference on Computers, Communications, Control and Power Engineering

作者： Yu, YJ Chen, C Zhejiang Univ Inst Comp Sci Zhejiang 310027 Peoples R China

ISBN: (纸本)0780374908

As information on the Internet expanded rapidly, we can get more information than before. However, how to find user-intended information from the Internet include text, images, videos isn't easy, In this paper, we use relevant feedback and build user space by improved bayesian algorithm to mine the log of user's feedback to improve retrieval performance. Data mining is used to remove clutter and irrelevant text information, and help to eliminate mismatch between the page author's expression and the user's understanding and expectation.

关键词： web information retrieval improved bayesian algorithm relevant feedback web log mining information space user space

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WEB USER LOG MINING FOR WEB RETRIEVAL

WEB USER LOG MINING FOR WEB RETRIEVAL

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2002年IEEE十区计算机、通信、控制和电机工程会议

作者： Yu Yijun Chen Cun Institute of Computer Science, Zhejiang University, Zhejiang China 310027

As information on the Internet expandedrapidly, we can get more information than ***, how to find user-intended information fromthe Internet include text, images, videos isn't easy. Inthis paper, we use relevant feedback and build userspace by improved bayesian algorithm to mine the logof user's feedback to improve retrieval *** mining is used to remove clutter and irrelevanttext information. and help to eliminate mismatchbetween the page author's expression and the user'sunderstanding and expectation.

关键词： web information retrieval improved bayesian algorithm relevant feedback web log mining information space user space

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