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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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
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