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Research and Citation Analysis of Data Mining Technology Based on Bayes Algorithm

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Abstract

With the development of social information technology and the increasing of information data in big data era, how to query the required data accurately is becoming more and more important, the purpose of this paper is to establish a model of data mining technology. In this paper, we use the Bayesian network learning model to study the data mining technology. In this paper, a Bayesian network learning model is established, then, the parameters of the recognition and the selection of coefficients are analyzed in detail, after that, the data mining model based on Bayesian computation is deduced, and the reliability of the model is verified by the example of the students. The probability distribution pattern used by Bayes has many advantages in data mining. It further proves the applicability of Bayesian formula, and provides a reference for data mining technology.

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Acknowledgements

This work is supported by new technology development projects of Jilin Provincial Science & Technology Department, No: 20130305020GX.

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Authors and Affiliations

  1. College of Instrumentation & Electrical Engineering, Jilin University, Changchun, 130061, China

    Mingyang Liu

  2. College of Computer Science and Technology of Jilin University, Changchun, 130012, China

    Ming Qu

  3. Jilin Animation Institute, Changchun, 130012, China

    Bin Zhao

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  1. Mingyang Liu
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  2. Ming Qu
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  3. Bin Zhao
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Correspondence to Ming Qu.

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Liu, M., Qu, M. & Zhao, B. Research and Citation Analysis of Data Mining Technology Based on Bayes Algorithm. Mobile Netw Appl 22, 418–426 (2017). https://doi.org/10.1007/s11036-016-0797-2

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  • DOI: https://doi.org/10.1007/s11036-016-0797-2

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