Research on FCM and NHL Based High Order Mining Driven by Big Data
Joint Authors
Peng, Zhen
Peng, Jie
Zhao, Wei
Chen, Zhenguo
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
In order to get the high order evaluation and correlation degree among big data with the characteristics of multidimension and multigranularity, an FCM and NHL based high order mining algorithm driven by big data is proposed, which is a kind of machine learning based on qualitative knowledge.
The algorithm is applied in scientific and technical talent forecast.
Driven by the big data of scientific research track of scientific and technical talents, the index system is designed and the big data is automatically acquired and processed.
Accordingly, the high order evaluations in dimension level and target level can be inferred by the correlation weights mining.
And the outstanding young talents in material field in 2014 have been actively recommended to review department for decision-making.
American Psychological Association (APA)
Peng, Zhen& Peng, Jie& Zhao, Wei& Chen, Zhenguo. 2015. Research on FCM and NHL Based High Order Mining Driven by Big Data. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074758
Modern Language Association (MLA)
Peng, Zhen…[et al.]. Research on FCM and NHL Based High Order Mining Driven by Big Data. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1074758
American Medical Association (AMA)
Peng, Zhen& Peng, Jie& Zhao, Wei& Chen, Zhenguo. Research on FCM and NHL Based High Order Mining Driven by Big Data. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1074758
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074758