Application of Apriori Algorithm in Oracle Bone Inscription Explication

Author

Yongge, Liu ; Yahong, Han

Author_Institution

Coll. of Comput. & Inf. Eng., Anyang Normal Univ., Anyang, China

Volume

3

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

612

Lastpage

615

Abstract

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.

Keywords

data mining; text analysis; apriori algorithm; association rules algorithm; oracle bone inscription explication; semantic correlation; word explication; Association rules; Bones; Computer science; Data mining; Data preprocessing; Databases; Educational institutions; History; Itemsets; Writing; Apriori Algorithm; Data Mining; OBI;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.18

Filename

5170913