TY - GEN
T1 - Mining up-to-date knowledge based on tree structures
AU - Lin, Chun Wei
AU - Hong, Tzung Pei
AU - Lu, Wen-Hsiang
PY - 2009/12/1
Y1 - 2009/12/1
N2 - In the past, the up-to-date patterns is proposed to mine the frequent itemsets within its corresponding lifetime. This hybrid method is based on the Apriori-like approach, which requests high computational cost and memory requirement. In this paper, the up-to-date pattern tree (UDP tree) is proposed to keep the up-to-date patterns in a tree structure. The experimental results show that the proposed approach has a better performance than the level-wise up-to-date algorithm.
AB - In the past, the up-to-date patterns is proposed to mine the frequent itemsets within its corresponding lifetime. This hybrid method is based on the Apriori-like approach, which requests high computational cost and memory requirement. In this paper, the up-to-date pattern tree (UDP tree) is proposed to keep the up-to-date patterns in a tree structure. The experimental results show that the proposed approach has a better performance than the level-wise up-to-date algorithm.
UR - http://www.scopus.com/inward/record.url?scp=77649286846&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77649286846&partnerID=8YFLogxK
U2 - 10.1109/SoCPaR.2009.36
DO - 10.1109/SoCPaR.2009.36
M3 - Conference contribution
AN - SCOPUS:77649286846
SN - 9780769538792
T3 - SoCPaR 2009 - Soft Computing and Pattern Recognition
SP - 123
EP - 127
BT - SoCPaR 2009 - Soft Computing and Pattern Recognition
T2 - International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
Y2 - 4 December 2009 through 7 December 2009
ER -