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논문검색

Research on Data Mining Model of Intelligent Transportation Based on Granular Computing

원문정보

Xiao-Lan Xie, Xiao-Feng Gu

보안공학연구지원센터(IJSIA) International Journal of Security and Its Applications Vol.10 No.7 2016.07 pp.281-286
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초록

영어

Through the analysis of the relationship between current intelligence transportation and large data, after the theory of granular computing concepts involved in preliminary studies, For the current data mining of intelligent transportation ,we presents a Data Mining Model Of Intelligent Transportation Based on Granular Computing. Utilizing granular computing in data mining theory advantages, through constructing a new data mining model to solve the tlarge-scale, complexity, uncertainty and ambiguity problems of massive data from intelligent transportation.

목차

Abstract
 1. Introduction
 2. The Basic Concept and Theory of Granular Computing
  2.1. The Basic Theory of Granular Computing
 3. A Data Mining Model of Intelligent Transportation Based on Granular Computing
 4. Conclusion
 Acknowledgments
 References

키워드

저자정보

  • Xiao-Lan Xie College of Information Science and Engineering, Guilin University Of Technology, Guilin ,Guangxi Zhuang Autonomous Region, China, College of mechanical and control engineering, Guilin University Of Technology, Guilin, Guangxi Zhuang Autonomous Region, China
  • Xiao-Feng Gu Guilin University of Technology, GuangXi key Laboratory of Embedded Technology and Intelligent Information Processing, China,

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