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作者:

Han, Jian (Han, Jian.) | Chen, Jianhui (Chen, Jianhui.) | Zhong, Han (Zhong, Han.) | Zhong, Ning (Zhong, Ning.)

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EI Scopus

摘要:

Finding and learning related research is a necessary work in Brain Informatics studies. However, the keyword-based search on brain and mental big data center often brings a large amount of unnecessary results. It is very difficult to find needed research from those results for researchers. This paper proposes a Brain Informatics research recommendation system based on the Data-Brain and BI provenances. By choosing interest aspects from the Data-Brain and applying the unification of search and reasoning based on Data-Brain interests, the more accurate search can be realized to find really related literatures for supporting systematic Brain Informatics studies. © 2014 Springer International Publishing.

关键词:

Medical informatics Recommender systems Search engines

作者机构:

  • [ 1 ] [Han, Jian]International WIC Institute, Beijing University of Technology, Beijing 100024, China
  • [ 2 ] [Chen, Jianhui]Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
  • [ 3 ] [Zhong, Han]International WIC Institute, Beijing University of Technology, Beijing 100024, China
  • [ 4 ] [Zhong, Ning]International WIC Institute, Beijing University of Technology, Beijing 100024, China
  • [ 5 ] [Zhong, Ning]Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China
  • [ 6 ] [Zhong, Ning]Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi-City 371-0816, Japan

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来源 :

ISSN: 0302-9743

年份: 2014

卷: 8609 LNAI

页码: 208-217

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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