• DocumentCode
    3021520
  • Title

    Study on Data Mining in First Period of Jiangzhai Site Based on the Association Algorithms

  • Author

    Bi Shuoben ; Xu Yin ; Jiao Feng ; Lu Guonian ; Pei Anping

  • Author_Institution
    Sch. of Comput. & Software, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    385
  • Lastpage
    389
  • Abstract
    The paper introduces the single-dimensional Boolean association rule based on Apriori algorithm, and the data mining algorithm of the multi-dimensional association rule based on BUC algorithm of MD mode. Afterwards, this paper regards the main relics of Jiangzhai site as the research object, using the very two algorithms to carry out the association mining analysis of the attribute data of Jiangzhai first period cultural relics. At first, it does the attribute association mining on the ancient big, middle and small houses. Then, it does attribute data mining on the pit tomb buried and the urn tomb of the whole site, so as to find the connotative relationships among the attribution data, and provides a new technique for the analysis research of archaeology site information.
  • Keywords
    archaeology; data mining; Jiangzhai first period cultural relics; Jiangzhai site; apriori algorithm; archaeology site information; association algorithms; data mining algorithm; single-dimensional Boolean association rule; Artificial intelligence; Association rules; Bismuth; Computational intelligence; Cultural differences; Data mining; Geographic Information Systems; Software; Soil; Spatial databases; Apriori Algorithm; BUC Algorithm; Data Mining; Jiangzhai Site; Settlment Archaeology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.172
  • Filename
    5376310