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  • 标题:Towards an information extraction and knowledge formation framework based on Shannon entropy
  • 本地全文:下载
  • 作者:Dragoș Iliescu ; Dragoș Iliescu ; Marian Gheorghe
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:94
  • 页码:1-6
  • DOI:10.1051/matecconf/20179406013
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Information quantity subject is approached in this paperwork, considering the specific domain of nonconforming product management as information source. This work represents a case study. Raw data were gathered from a heavy industrial works company, information extraction and knowledge formation being considered herein. Involved method for information quantity estimation is based on Shannon entropy formula. Information and entropy spectrum are decomposed and analysed for extraction of specific information and knowledge-that formation. The result of the entropy analysis point out the information needed to be acquired by the involved organisation, this being presented as a specific knowledge type.
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