Title :
MiRABIT: A new algorithm for mining association rules
Author :
Camargo, Sandro Da Silva ; Engel, Paulo Martins
Abstract :
Mining a sales transaction database is a very expensive task in terms of the processing time. Depending on the business branch of the company some characteristics of the database are different. The algorithms currently used for mining association rules optimize this task for databases with supermarket characteristics. The MiRABIT algorithm that is presented in this work optimizes the mining task for databases with clothing store characteristics. Comparative tests demonstrate the efficiency of the proposed algorithm in relation to the standard algorithm Apriori in a clothing store database.
Keywords :
data mining; retail data processing; MiRABIT; association rules; clothing store; clothing store database; data mining; sales transaction database; Association rules; Clothing; Companies; Computer science; Data mining; Electronic mail; Itemsets; Marketing and sales; Testing; Transaction databases;
Conference_Titel :
Computer Science Society, 2002. SCCC 2002. Proceedings. 22nd International Conference of the Chilean
Print_ISBN :
0-7695-1867-2
DOI :
10.1109/SCCC.2002.1173189
