DocumentCode :
2492157
Title :
Mining Regular Patterns in Incremental Transactional Databases
Author :
Tanbeer, Syed Khairuzzaman ; Ahmed, Chowdhury Farhan ; Jeong, Byeong-Soo
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
fYear :
2010
fDate :
6-8 April 2010
Firstpage :
375
Lastpage :
377
Abstract :
Recently proposed regular pattern mining provides an effective technique to find patterns occurring at regular interval in a static database. However, the occurrence characteristic of patterns may change significantly with the update of database. Therefore, this paper proposes the Incremental Regular Pattern Tree (IncRT) and a pattern growth mining technique to find regular patterns on incremental transactional databases. Experiment results show the effectiveness of the proposed method.
Keywords :
data mining; trees (mathematics); incremental regular pattern tree; incremental transactional database; regular pattern mining; static database; DNA; Data analysis; Data engineering; Frequency measurement; Genetics; Itemsets; Sequences; Transaction databases; Tree data structures; Web pages; data mining; incremental mining; regular pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Conference (APWEB), 2010 12th International Asia-Pacific
Conference_Location :
Busan
Print_ISBN :
978-1-7695-4012-2
Electronic_ISBN :
978-1-4244-6600-9
Type :
conf
DOI :
10.1109/APWeb.2010.69
Filename :
5474109
Link To Document :
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