This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 WRI World Congress on Computer Science and Information Engineering
Application of Apriori Algorithm in Oracle Bone Inscription Explication
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
Oracle Bone Inscription (OBI) is one of the oldest writing in the world, but of all 6000 words found till now there are only about 1500 words that can be explicated explicitly. So explication for OBI is a key and open problem in this field. Exploring the correlation between the OBI words by Association Rules algorithm can aid in the research of explication for OBI.Firstly the OBI data extracted from our OBI corpus are preprocessed; with these processed data as input for Apriori algorithm [1] we get the frequent itemset. And combined by the interestingness measurement the strong association rules between OBI words are produced. Experimental results on our OBI corpus demonstrate that our proposed method is feasible and effective in finding semantic correlation for OBI.
Index Terms:
Apriori Algorithm, OBI, Data Mining
Citation:
Liu Yongge, Han Yahong, "Application of Apriori Algorithm in Oracle Bone Inscription Explication," csie, vol. 3, pp.612-615, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.