TY - JOUR
T1 - Improving a rule evaluation support method based on objective indices
AU - Abe, Hidenao
AU - Tsumoto, Shusaku
AU - Ohsaki, Miho
AU - Yamaguchi, Takahira
PY - 2010
Y1 - 2010
N2 - It is a key for the successes of data mining projects in practical situations to evaluate the obtained so many patterns as valuable knowledge effectively. In order to provide an effective support, we have been developing a rule evaluation support method based on the learning models of objective rule evaluation indices. In this paper, we report two improvements of this method and their evaluations. One is improved the learning algorithm selection in the proposed method by introducing a constructive meta-learning scheme. The other is improved the sorting efficiency of objective rule evaluation indices by combining them.
AB - It is a key for the successes of data mining projects in practical situations to evaluate the obtained so many patterns as valuable knowledge effectively. In order to provide an effective support, we have been developing a rule evaluation support method based on the learning models of objective rule evaluation indices. In this paper, we report two improvements of this method and their evaluations. One is improved the learning algorithm selection in the proposed method by introducing a constructive meta-learning scheme. The other is improved the sorting efficiency of objective rule evaluation indices by combining them.
KW - Constructive meta-learning
KW - Data mining
KW - Objective rule evaluation index
KW - PCA
KW - Post-processing
KW - Principal component analysis
KW - Rule evaluation support
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U2 - 10.1504/IJAIP.2010.030534
DO - 10.1504/IJAIP.2010.030534
M3 - Article
AN - SCOPUS:82155199529
VL - 2
SP - 180
EP - 197
JO - International Journal of Advanced Intelligence Paradigms
JF - International Journal of Advanced Intelligence Paradigms
SN - 1755-0386
IS - 2-3
ER -