TY - GEN
T1 - Fuzzy data mining based on the compressed fuzzy FP-trees
AU - Lin, Chun Wei
AU - Hong, Tzung Pei
AU - Lu, Wen-Hsiang
PY - 2009/12/10
Y1 - 2009/12/10
N2 - In this paper, we design the compressed fuzzy FP-tree structure to mine fuzzy frequent itemsets from the transactions with quantitative values. It consists of two phases. In the first phase, a compressed fuzzy frequent pattern tree (CFFP tree) is constructed from the given quantitative transactions. In the second phase, a fuzzy mining approach is then proposed to mine the fuzzy frequent itemsets from the CFFP tree constructed. Experiments are also made to show the performance of the proposed approach.
AB - In this paper, we design the compressed fuzzy FP-tree structure to mine fuzzy frequent itemsets from the transactions with quantitative values. It consists of two phases. In the first phase, a compressed fuzzy frequent pattern tree (CFFP tree) is constructed from the given quantitative transactions. In the second phase, a fuzzy mining approach is then proposed to mine the fuzzy frequent itemsets from the CFFP tree constructed. Experiments are also made to show the performance of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=71249107864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=71249107864&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2009.5277200
DO - 10.1109/FUZZY.2009.5277200
M3 - Conference contribution
AN - SCOPUS:71249107864
SN - 9781424435975
T3 - IEEE International Conference on Fuzzy Systems
SP - 1068
EP - 1072
BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2009 IEEE International Conference on Fuzzy Systems
Y2 - 20 August 2009 through 24 August 2009
ER -