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Data mining on time series: an illustration using fast-food restaurant franchise data

Author

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  • Liu, Lon-Mu
  • Bhattacharyya, Siddhartha
  • Sclove, Stanley L.
  • Chen, Rong
  • Lattyak, William J.

Abstract

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Suggested Citation

  • Liu, Lon-Mu & Bhattacharyya, Siddhartha & Sclove, Stanley L. & Chen, Rong & Lattyak, William J., 2001. "Data mining on time series: an illustration using fast-food restaurant franchise data," Computational Statistics & Data Analysis, Elsevier, vol. 37(4), pages 455-476, October.
    • Handle: RePEc:eee:csdana:v:37:y:2001:i:4:p:455-476
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    References listed on IDEAS

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    1. Liu, Lon-Mu & Lin, Maw-Wen, 1991. "Forecasting residential consumption of natural gas using monthly and quarterly time series," International Journal of Forecasting, Elsevier, vol. 7(1), pages 3-16, May.
    2. Howard E. Thompson & George C. Tiao, 1971. "Analysis of Telephone Data: A Case Study of Forecasting Seasonal Time Series," Bell Journal of Economics, The RAND Corporation, vol. 2(2), pages 515-541, Autumn.
    3. S. B. Dransfield & N. I. Fisher & N. J. Vogel, 1999. "Using Statistics and Statistical Thinking to Improve Organisational Performance," International Statistical Review, International Statistical Institute, vol. 67(2), pages 99-122, August.
    4. Liu, Lon-Mu, 1986. "Identification of time series models in the presence of calendar variation," International Journal of Forecasting, Elsevier, vol. 2(3), pages 357-372.
    5. Jackie Hueter & William Swart, 1998. "An Integrated Labor-Management System for Taco Bell," Interfaces, INFORMS, vol. 28(1), pages 75-91, February.
    6. Lon-Mu Liu, 1980. "Note---Analysis of Time Series with Calendar Effects," Management Science, INFORMS, vol. 26(1), pages 106-112, January.
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    Cited by:

    1. Weiß, Christian H. & Göb, Rainer, 2008. "Discovering patterns in categorical time series using IFS," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4369-4379, May.
    2. Mohit Tyagi & Nomesh B. Bolia, 2022. "Approaches for restaurant revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 17-35, February.
    3. Gavin Boyd & Dain Na & Zhong Li & Spencer Snowling & Qianqian Zhang & Pengxiao Zhou, 2019. "Influent Forecasting for Wastewater Treatment Plants in North America," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    4. Katharina Blöcher & Rainer Alt, 2021. "AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 529-551, September.
    5. Ilya V. Naumov & Vladislav M. Sedelnikov, 2021. "Scenario modelling and forecasting of spatial transformation in the Russian catering market," Upravlenets, Ural State University of Economics, vol. 12(4), pages 75-91, September.

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