Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.18
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  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.
Apriori Algorithm, OBI, Data Mining
Liu Yongge, "Application of Apriori Algorithm in Oracle Bone Inscription Explication", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 612-615, doi:10.1109/CSIE.2009.18