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National Conference on Big Data Technology and Applications

BDTA 2015: Big Data Technology and Applications pp 15–25Cite as

Visual Analysis for Civil Aviation Passenger Reservation Data Characteristics Based on Uncertainty Measurement

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 590))

Abstract

Aviation data analysis can help airlines to understand passenger needs, so as to provide passengers with more sophisticated and better services. How to explore the implicit message and analyze contained features from large amounts of data has become an important issue in the civil aviation passenger data analysis process. The uncertainty analysis and visualization methods of data record and property measurement are offered in this paper, based on the visual analysis and uncertainty measure theory combined with parallel coordinates, radar chart, histogram, pixel chart and good interaction. At the same time, the data source expression clearly shows the uncertainty and hidden information as an information base for passengers’ service recommendations.

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Acknowledgment

This work is supported by National Natural Science Foundation of China - Civil Aviation Research Fund Projects (U1333110), Tianjin applied basic research and frontier technologies Key Project (14JCZDJC32500), China’s Civil Aviation college preparatory major projects(3122013P003) and Civil Aviation science and technology fund projects (MHRDZ201207).

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Authors and Affiliations

  1. Department of Computer Science and Technology, Civil Aviation University of China, Tianjin, China

    Huaiqing He, Hongrui Du & Haohan Liu

Authors
  1. Huaiqing He
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  2. Hongrui Du
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  3. Haohan Liu
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Corresponding author

Correspondence to Hongrui Du .

Editor information

Editors and Affiliations

  1. Tsinghua University, Dept. of Computer Science and Technology, Beijing, China

    Wenguang Chen

  2. Harbin Engineering University, China

    Guisheng Yin

  3. South China Normal University, Guangzhou, China

    Gansen Zhao

  4. Harbin Engineering University, China

    Qilong Han

  5. Northeast Forestry University, Harbin, China

    Weipeng Jing

  6. Harbin Univ. of Science and Technology, Harbin, China

    Guanglu Sun

  7. Harbin Sea of Clouds & Computer Tech., Harbin, China

    Zeguang Lu

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© 2016 Springer Science+Business Media Singapore

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Cite this paper

He, H., Du, H., Liu, H. (2016). Visual Analysis for Civil Aviation Passenger Reservation Data Characteristics Based on Uncertainty Measurement. In: Chen, W., et al. Big Data Technology and Applications. BDTA 2015. Communications in Computer and Information Science, vol 590. Springer, Singapore. https://doi.org/10.1007/978-981-10-0457-5_3

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  • DOI: https://doi.org/10.1007/978-981-10-0457-5_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0456-8

  • Online ISBN: 978-981-10-0457-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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