TY - GEN
T1 - Evaluating a constructive meta-learning algorithm for a rule evaluation support method based on objective indices
AU - Abe, Hidenao
AU - Tsumoto, Shusaku
AU - Ohsaki, Miho
AU - Yamaguchi, Takahira
PY - 2007
Y1 - 2007
N2 - In this paper, we present an evaluation of learning algorithms to select proper ones in a rule evaluation support tool for post-processing of mined results. Post-processing of mined results is one of the key processes in the data mining process. However, it is difficult for human experts to completely evaluate several thousand of rules from a large dataset with noises. To reduce the costs in such a rule evaluation task, we have developed a rule evaluation support method with rule evaluation models, which learn from objective indices for mined classification rules and evaluations by a human expert for each rule. To enhance the adaptability of rule evaluation models, we introduced a constructive meta-learning system to choose proper learning algorithms. Then, we performed the case study on the meningitis data mining as an actual problem. The obtained results demonstrate the applicability of the proposed rule evaluation support method.
AB - In this paper, we present an evaluation of learning algorithms to select proper ones in a rule evaluation support tool for post-processing of mined results. Post-processing of mined results is one of the key processes in the data mining process. However, it is difficult for human experts to completely evaluate several thousand of rules from a large dataset with noises. To reduce the costs in such a rule evaluation task, we have developed a rule evaluation support method with rule evaluation models, which learn from objective indices for mined classification rules and evaluations by a human expert for each rule. To enhance the adaptability of rule evaluation models, we introduced a constructive meta-learning system to choose proper learning algorithms. Then, we performed the case study on the meningitis data mining as an actual problem. The obtained results demonstrate the applicability of the proposed rule evaluation support method.
KW - Constructive meta-learning
KW - Data mining
KW - Objective rule evaluation index
KW - Post-processing
KW - Rule evaluation support
UR - https://www.scopus.com/pages/publications/38049024727
UR - https://www.scopus.com/pages/publications/38049024727#tab=citedBy
U2 - 10.1007/978-3-540-74827-4_117
DO - 10.1007/978-3-540-74827-4_117
M3 - Conference contribution
AN - SCOPUS:38049024727
SN - 9783540748267
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 934
EP - 941
BT - Knowledge-Based Intelligent Information and Engineering Systems
T2 - 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
Y2 - 12 September 2007 through 14 September 2007
ER -