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  • 标题:SNA: Construction of Meta classifications in Domain Modeling
  • 本地全文:下载
  • 作者:P.Sasikala ; P.Mayilvahanan
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2019
  • 卷号:10
  • 期号:4
  • 页码:97-103
  • 出版社:Engg Journals Publications
  • 摘要:By using text mining concepts to be found out the domain modeling depended on thevocabularies and relevant domains from the documents. Each document is having various concepts andeach concept is having various terminologies. Collection of wide documents are very useful and stronglyto b0e understood in that particular domain. Sometimes documents are associated with meaningful ormeaningless information in the particular domain. Machine learning one of the interested concepts isdomain modeling. This research work focuses on the huge dataset for author article relationship withappropriate Ensemble classification approaches applied and find out the best accuracy of this dataset.
  • 关键词:Data Mining; Meta; Domain Modeling.
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