Title :
Mining indirect association rules in multi-database
Author :
Duan, Qiaoling ; Fu, Huiwen ; Yuan, Dingrong ; Huang, Xiaomeng
Author_Institution :
Coll. of Comput. Sci. & Inf. Technol., Guangxi Normal Univ., Guilin, China
Abstract :
Nowadays the techniques of indirect assocation rules(IARs) mining focus on mono-database. With the rapid development of multi-database technology, multi-database mining is becoming more and more imporant. We propose an approach of synthesizing frequent itemsets before mining indirect rules in multi-database on base of previous work in multi-database mining. The experimental results demonstrate that algorithm is correct and effective.
Keywords :
data mining; database management systems; frequent itemset synthesis; indirect association rule mining; mono-database; multidatabase mining; multidatabase technology; Algorithm design and analysis; Association rules; Itemsets; Software algorithms; data minining; indirect association rules; multi-database;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
DOI :
10.1109/ICSSEM.2012.6340824
