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  • 标题:An Analyzing Algorithm Based on Learning and Searching in Chinese Medical Big Data
  • 本地全文:下载
  • 作者:LUO Jie ; ZHOU Ziyang ; SONG Qiaolin
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2019
  • 卷号:9
  • 期号:2
  • 页码:1-12
  • DOI:10.5121/csit.2019.90203
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:We propose an improved analysis algorithm based on learning and searching methods in the field of Big Data to optimize TCM information management. We use TF-IDF theory in document clustering to cluster the name of Chinese Medical prescripts, construct word bag model, and combineuniversal hash with perfect hash,in order to establish a special key-value hashing band between Chinese Medical Data and diseases.
  • 关键词:TCM; Chinese Medical Massive Data; Big Data; Hashing; Index; Mapping
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