期刊文献+

面向机场场区管理的数据挖掘系统 被引量:2

Data Mining System for Airport Regional Management
下载PDF
导出
摘要 机场场区的信息化建设滞后于飞行区和航站楼。为此,针对机场场区管理信息系统,提出面向机场场区管理的商务智能理念,设计一种应用数据挖掘技术的机场场区数据挖掘系统,分析系统各个功能模块,通过应用实例,证明该系统可有效提高机场场区信息化建设程度。 Considering the problem that information construction of outside region management develops slowly than the airport operation center and the terminal operation center, data mining technologies are applied into airport outside region management information systems. The airport region management oriented business intelligence is presented. An airport region data mining system is designed and each model is analyzed. The airport outside region management validates the efficiency of the system.
出处 《计算机工程》 CAS CSCD 2012年第3期224-227,共4页 Computer Engineering
基金 国家自然科学基金资助项目(70973079) 上海机场(集团)有限公司科研基金资助项目 上海市培养优秀青年教师基金资助项目(slg10010) 教育部大学生创新性实验计划基金资助项目(52-09-303-201)
关键词 场区管理 商务智能 数据挖掘 元数据管理 regional management business intelligence data mining metadata management
  • 相关文献

参考文献9

  • 1Kelemen Z. Possible Solution of the Airport Information System Integration[J]. Periodical Poly-technical Transportation Engineering, 2004, 32(1/2): 57-64.
  • 2Babiceanu R F, Rucker D, Al-Rizzo H M, et al. Enhanced Airport Management Information System for Small and Medium-sized Airports: A Systems Engineering Capstone Design Experience[C] // Proc. of the 118th Annual Conference and Exposition on American Society for Engineering Education. Vancouver, Canada: [s. n.] , 2011.
  • 3McNerney M T. Airport Infrastructure Management with Geo- graphic Information Systems: State of the Art[J]. Transportation Research Record, 2000, (1703): 58-64.
  • 4凌建明,袁捷,西绍波,景逸鸣.上海机场道面管理系统研究与开发[J].同济大学学报(自然科学版),2005,33(8):1041-1046. 被引量:22
  • 5张兰英. 虹桥机场OMC系统研究与规划[D]. 上海: 上海理工大学, 2011.
  • 6Kim S B, Rosenberger J, Chen V C P, et al. Statistical Mining the Environmental Impact of Airport Deicing Activities[C] //Proc. of Institute of Industrial Engineers Annual Conference. Nashville, USA: [s. n.] , 2007: 203-208.
  • 7Yan Kewu, Zhu Jinfu, Sun Qiang. The Application of ID3 Algorithm in Aviation Marketing[C] //Proc. of IEEE International Conference on Grey Systems and Intelligent Services. [S. l.] : IEEE Press, 2007: 1284-1288.
  • 8Atkin J A D, Burke E K, Greenwood J S, et al. On-line Decision Support for Take-off Runway Scheduling with Uncertain Taxi Times at London Heathrow Airport[J]. Journal of Scheduling, 2008, 11(5): 323-346.
  • 9桂兵祥,何健.基于高性能云的分布式数据挖掘方法[J].计算机工程,2010,36(5):76-78. 被引量:5

二级参考文献11

  • 1Amazon, Inc.. Amazon Simple Store Service(Amazon S3)[EB/OL]. [2008-12-10]. http://www.amazon.com/S3.
  • 2Gu Yunhong, Grossman R L. UDT: UDP-based Data Transfer for High-CCPEed Wide Area Network[J]. Computer Networks, 2007, 51(7): 777-799.
  • 3Dean J, Ghemawat S. MapReduce: Simplified Data Processing on Large Clusters[C]//Proc. of OSDI'04. Francisco, CA, USA: [s. n.], 2004.
  • 4Gu Yunhong, Grossman R L. Sector and Sphere: the Design and Implementation of a High Performance Data Cloud[C]//Proe. of UK e-Science All Hands Meeting. Edinburgh, UK: [s. n.], 2008.
  • 5Borthaku D. The Hadoop Distributed File System: Architecture and Design[EB/OL]. (2007-03-05). http://hadoop.apache.org/eommon/ docs/r0,18,0/hdfs design.pdf,.
  • 6历始一 沙起才.机场道面维护管理系统研究报告[R].北京:空军后勤部机场,1984..
  • 7Shahin M Y.Pavement management for airports,roads,and parking lots[M].New York:Chapman & Hall,1994.
  • 8Airport Planning Pty Ltd.Airport pavement maintenance management systems:Summary report[R].[s.l.]:Airport Planning Pty Ltd,1998.
  • 9ASTMD 5340-98,Standard test method for airport pavement condition surveys[S].
  • 10凌建明,郑悦锋.机场水泥混凝土道面剩余寿命的预估方法[J].同济大学学报(自然科学版),2001,29(4):484-488. 被引量:13

共引文献25

同被引文献8

  • 1Rifkin J.The third industrial revolution: how lateral poewr Is transforming energy, The Economy, and the world[M].New York: Palgrave Macmillan, 2012.
  • 2Nature.Big Data[EB/OL].[2014-08-26].http://www.nature .com/news/specials/bigdata/index.html.
  • 3Big data: the next frontier for innovation,competition,and productivity[R/OL].[2014-08-26].http://mckinsey.corn/ Isight/MGI/Research/Technology_and_Innovation/Big_da ta the next frontier for innovation.
  • 4The White-House. Big data across the federal goven- ment[R/OL]. [2014-08-26].http://www.whitehouse.gov/site s/default/files/microsites/osto/biz data fact innovation.
  • 5Barwick H. The "Four Vs" of big data. implementing in- formation Infrastructure Symposium [EB/OL].[2014-08 -26].http://www.computerworld.com.au/article/396198/iiis _fourva_big_dataL.
  • 6王娜,岳俊英.基于关联规则的高校图书信息数据挖掘[J].信息系统工程,2014(2):153-154. 被引量:2
  • 7杨国林,王飞,贺慧.基于数据挖掘的图书馆数据预处理方法研究[J].电子设计工程,2015,23(3):26-29. 被引量:11
  • 8周鹏.数据挖掘技术下的智能化车辆管理系统实现[J].现代电子技术,2016,39(16):52-54. 被引量:8

引证文献2

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部