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
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;
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
DOI :
10.1109/AICI.2009.172