TY - GEN
T1 - Evaluating learning algorithms composed by a constructive meta-learning scheme for a rule evaluation support method
AU - Abe, Hidenao
AU - Tsumoto, Shusaku
AU - Ohsaki, Miho
AU - Yamaguchi, Takahira
PY - 2006
Y1 - 2006
N2 - In this paper, we present an evaluation of learning algorithms of a novel rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. Post-processing of mined results is one of the key processes in a data mining process. However, it is difficult for human experts to completely evaluate several thousands of rules from a large dataset with noises. To reduce the costs in such rule evaluation task, we have developed the 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 adaptability of rule evaluation models, we introduced a constructive meta-learning system to choose proper learning algorithms. Then, we have done the case study on the meningitis data mining as an actual problem.
AB - In this paper, we present an evaluation of learning algorithms of a novel rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. Post-processing of mined results is one of the key processes in a data mining process. However, it is difficult for human experts to completely evaluate several thousands of rules from a large dataset with noises. To reduce the costs in such rule evaluation task, we have developed the 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 adaptability of rule evaluation models, we introduced a constructive meta-learning system to choose proper learning algorithms. Then, we have done the case study on the meningitis data mining as an actual problem.
UR - http://www.scopus.com/inward/record.url?scp=78449301983&partnerID=8YFLogxK
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U2 - 10.1109/icdmw.2006.73
DO - 10.1109/icdmw.2006.73
M3 - Conference contribution
AN - SCOPUS:78449301983
SN - 0769527027
SN - 9780769527024
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 305
EP - 310
BT - Proceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops
PB - Institute of Electrical and Electronics Engineers Inc.
ER -