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Real-Time Validation of Retail Gasoline Prices

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Discovery Science (DS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10558))

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Abstract

We provide a method of validating current gasoline (petrol) prices for a crowd-sourced app that primarily provides current gasoline prices. To validate prices reported by users of the app, we propose an approach that validates each price report in real time as it is entered by a consumer by comparing it to the current prediction of what the price is expected to be at the specified store at the present time. To do so, a forecast model is used to predict, with high accuracy, a price range for each store in real-time so that when a price is entered by a consumer it can be flagged if it falls outside the predicted range. We present the first experimental results concerning predicting the current price in real time at all stores in a city. The results indicate that there is a significant improvement in reducing the forecast error when using our Price Change Rules model over the modified Most Common Action model.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Regina, Regina, Canada

    Mondelle Simeon & Howard J. Hamilton

Authors
  1. Mondelle Simeon
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  2. Howard J. Hamilton
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Corresponding author

Correspondence to Howard J. Hamilton .

Editor information

Editors and Affiliations

  1. Kyoto University, Kyoto, Japan

    Akihiro Yamamoto

  2. Hokkaido University, Sapporo, Japan

    Takuya Kida

  3. National Institute of Informatics, Tokyo, Japan

    Takeaki Uno

  4. Gakushuin University, Tokyo, Japan

    Tetsuji Kuboyama

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© 2017 Springer International Publishing AG

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Simeon, M., Hamilton, H.J. (2017). Real-Time Validation of Retail Gasoline Prices. In: Yamamoto, A., Kida, T., Uno, T., Kuboyama, T. (eds) Discovery Science. DS 2017. Lecture Notes in Computer Science(), vol 10558. Springer, Cham. https://doi.org/10.1007/978-3-319-67786-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-67786-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67785-9

  • Online ISBN: 978-3-319-67786-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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