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An Exploratory Study and Application of Data Mining: Railway Alarm Data

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 849))

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Abstract

The railway industry generates large data but there are few researches on railway data analysis. The paper presented an exploratory study and application of data mining from railway alarm data. The railway alarm data is analyzed to find the correlation between alarm items and between railway bureaus when alarm occurred and predict the alarm occurring. The paper proposed an alternative measurement mode with three values: support, Kulc and balance to mine the correlation from alarm data analysis, and the results finally indicated the very possibility of associated railway bureaus.

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Acknowledgments

This work was supported by National Key Research and Development Plan of China (2016YFB0502604, 2016YFC0803000), International Scientific and Technological Cooperation and Academic Exchange Program of Beijing Institute of Technology (GZ2016085103), Frontier and interdisciplinary innovation program of Beijing Institute of Technology (2016CX11006).

Author information

Authors and Affiliations

  1. International School of Software, Beijing Institute of Technology, Beijing, 100081, China

    Yichuan Yang, Hanning Yuan & Dapeng Li

  2. Institute of Computing Technologies, China Academy of Railway Sciences, Beijing, 100081, China

    Tianyun Shi

  3. School of Aerospace Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Wen Cheng

Authors
  1. Yichuan Yang
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  2. Hanning Yuan
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  3. Dapeng Li
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  4. Tianyun Shi
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  5. Wen Cheng
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Corresponding author

Correspondence to Hanning Yuan .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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Yang, Y., Yuan, H., Li, D., Shi, T., Cheng, W. (2018). An Exploratory Study and Application of Data Mining: Railway Alarm Data. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_17

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  • DOI: https://doi.org/10.1007/978-981-13-0896-3_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0895-6

  • Online ISBN: 978-981-13-0896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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