Title :
Mining High Transaction-Weighted Utility Itemsets
Author :
Lan, Guo-Cheng ; Hong, Tzung-Pei ; Tseng, Vincent S.
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
In this paper, we design a new kind of patterns, named high transaction-weighted utility itemsets, which considers not only individual profits and quantities of the items in a transaction, but also the contribution of each transaction in a database. We also propose a two-phased mining algorithm to discover high transaction-weighted utility itemsets. The experimental results on synthetic datasets show the proposed approach has a good performance.
Keywords :
data mining; database management systems; transaction processing; high transaction-weighted utility itemsets; itemset mining; Application software; Association rules; Biomedical engineering; Computer applications; Computer science; Data engineering; Data mining; Design engineering; Itemsets; Transaction databases; data mining; high transaction-weighted utility itemsets; high utility itemsets; two-phase mining; utility mining;
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
DOI :
10.1109/ICCEA.2010.69
