Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (1)
  • Open Access


    Predicting Carpark Prices Indices in Hong Kong Using AutoML

    Rita Yi Man Li1, Lingxi Song2, Bo Li2,3, M. James C. Crabbe4,5,6, Xiao-Guang Yue7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 2247-2282, 2023, DOI:10.32604/cmes.2022.020930

    Abstract The aims of this study were threefold: 1) study the research gap in carpark and price index via big data and natural language processing, 2) examine the research gap of carpark indices, and 3) construct carpark price indices via repeat sales methods and predict carpark indices via the AutoML. By researching the keyword “carpark” in Google Scholar, the largest electronic academic database that covers Web of Science and Scopus indexed articles, this study obtained 999 articles and book chapters from 1910 to 2019. It confirmed that most carpark research threw light on multi-storey carparks, management… More > Graphic Abstract

    Predicting Carpark Prices Indices in Hong Kong Using AutoML

Displaying 1-10 on page 1 of 1. Per Page