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Research on case retrieval of Bayesian network under big data

机译：大数据下贝叶斯网络案例检索研究

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摘要

Although case retrieval of Bayesian network has greatly promoted the application of CBR technique in engineering fields, it is facing huge challenges with the arrival of the era of big data. First, huge computation task of BN learning caused by big data seriously hampers the efficiency of case retrieval; Second, with the increasing data size, the accuracy of case retrieval becomes poorer and poorer because existing methods of improving probability learning become unfit for new situation. Aiming at the first problem, this paper proposes Within-Cross algorithm to assign computation task to improve the result of parallel data processing and gain better efficiency of case retrieval. For the second problem, this paper proposes a new method called Weighted Index Coefficient of Dirichlet Distribution (WICDD) algorithm, which first measures the influence of different factors on probability learning and then gives a weight to each super parameter of Dirichlet Distribution to adjust the result of probability learning. Thus with WICDD algorithm, the effect of probability learning is greatly improved, which then further enhances the accuracy of case retrieval. Finally, lots of experiments are executed to validate the effectiveness of the proposed method.
机译：尽管贝叶斯网络的案例检索极大地促进了CBR技术在工程领域的应用，但随着大数据时代的到来，它面临着巨大的挑战。首先，大数据引起的BN学习的巨大计算任务严重影响了案例检索的效率。其次，随着数据量的增加，案例检索的准确性变得越来越差，因为现有的改进概率学习的方法变得不适用于新情况。针对第一个问题，本文提出了跨内算法来分配计算任务，以提高并行数据处理的效果，提高案例检索效率。针对第二个问题，本文提出了一种新的方法，称为狄利克雷分布加权指数系数（WICDD）算法，该方法首先测量不同因素对概率学习的影响，然后对狄利克雷分布的每个超参数赋予权重以调整结果概率学习。因此，利用WICDD算法，极大地提高了概率学习的效果，进而进一步提高了案例检索的准确性。最后，进行了大量实验以验证所提方法的有效性。

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  • 来源
    《Data & Knowledge Engineering》 |2018年第11期|1-13|共13页
  • 作者

    Yuan Guo; Yuan Guo; K. Wu;

  • 作者单位

    School of Mechanical Engineering, Jiangsu University;

    School of Mechanical Engineering, Nanjing University of Science and Technology;

    School of Mechanical Engineering, Nanjing University of Science and Technology;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Case retrieval; Big data; BN model; Hadoop platform;

    机译：案例检索;大数据;BN模型;Hadoop平台;

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