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
Link To Document