Title :
A Combination Approach to Frequent Itemsets Mining
Author :
Sahaphong, Supatra ; Boonjing, Veera
Abstract :
In this paper, we propose a new mining of frequent itemsets algorithm, called SFI-mine algorithm. The SFI-mine constructs pattern-base by using a new method which is different from the conditional pattern-base in FP-growth, mines frequent itemsets with a new combination method without recursive construction of conditional FP-trees. It obtains complete and correct frequent itemsets. We have conducted the examples of all definitions and correctness proving.
Keywords :
data mining; trees (mathematics); FP-growth; FP-trees; SFI-mine algorithm; frequent itemsets mining; Association rules; Computer science; Data mining; Economic forecasting; Information technology; Itemsets; Mathematics; Runtime; Spatial databases; Transaction databases; Association Mining; Data Mining; Frequent Itemsets Mining;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.383