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  • 标题:A Large Statistics Scrutiny Scheme for Virtual Edification
  • 本地全文:下载
  • 作者:Muskan golchha ; Apoorva jain ; Kalpana
  • 期刊名称:Ilköğretim Online/Elementary Education Online
  • 印刷版ISSN:1305-3515
  • 电子版ISSN:1305-3515
  • 出版年度:2021
  • 卷号:20
  • 期号:4
  • 页码:1887-1891
  • 语种:English
  • 出版社:Öğretmen Eğitimi Akademisi
  • 摘要:Virtual Edification is united by web mechanics and customary learning. It develops briskly lately. Large statistics has the physiognomies of enormity, broadening, truncated worth and promptness, which is profoundly impelling and reenacting the virtual edification. The learning on the scholastic mechanization toning large statistics exploration, and the assessment of the expansion inclination and edict of virtual edification can comfort to efficaciously acquire out of the impasse fronting with the virtual edification, and to comprehend the personalized expansion stratagem with the indorsed scholastic mechanization and edifying philosophy established on large statistics. How to practice the large statistics mechanics in this arena? Here offered single mode and given single case in point to exemplify and deliberate..
  • 关键词:Large Statistics;Virtual Edification;Abstract Scrutiny;Mongo DB;Edifying Amen
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