Volume 39 Issue 1
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YIN Ting-jun, LI Ling-hui, ZHOU Rui. Overview of Data Classification Algorithms for Big Data Mining[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 102-104. doi: 10.19695/j.cnki.cn12-1369.2021.01.32
Citation: YIN Ting-jun, LI Ling-hui, ZHOU Rui. Overview of Data Classification Algorithms for Big Data Mining[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 102-104. doi: 10.19695/j.cnki.cn12-1369.2021.01.32

Overview of Data Classification Algorithms for Big Data Mining

doi: 10.19695/j.cnki.cn12-1369.2021.01.32
  • Received Date: 2020-12-02
  • Rev Recd Date: 2021-01-17
  • Available Online: 2021-09-23
  • Publish Date: 2021-01-25
  • With the rapid development of information technology, various kinds of data information surge,as an important means of collecting, storing and managing massive data to analyze and predict the habits and characteristics of a certain group of people and even the development trend of a certain industry, big data technology provides a comprehensive strategic basis for management decision makers that traditional processing mode cannot match. Among them, data mining technology plays a vital role.Based on the author's actual work experience, this paper briefly analyzes the data classification algorithm technology in the stage of big data mining, hoping to bring some help to relevant personnel.

     

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  • [1]
    柯熙政,张伟志,刘娟花.多MEMS陀螺数据融合系统的设计和实现[J].仪器仪表学报,2017(8):2062-2070.
    [2]
    吉训生,王寿荣,许宜申,等.自适应 Kalman 滤波在 MEMS 陀螺仪信号处理中的应用[J].传感器与微系统,2006(9):79-81+85.
    [3]
    崔冰波,陈熙源,龚政仰.基于经验模态概率分布的光纤陀螺信号处理[J].中国惯性技术学报,2015(5):690-695.
    [4]
    N.E.Huang et al.,The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis,(in English)[J].Proceedings of the Royal Society a-Mathematical Physical and Engineering Sciences,1998,454(3):903-995.
    [5]
    P.Flandrin,G.Rilling,and P.Goncalves, Empirical mode decomposition as a filter bank,(in English)[J].Ieee Signal Processing Letters,2004,11(02):112-114.
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