DocumentCode :
3259902
Title :
Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method
Author :
Abe, Hidenao ; Tsumoto, Shusaku ; Ohsaki, Miho ; Yamaguchi, Takahira
Author_Institution :
Sch. of Medicine, Shimane Univ., Izumo
fYear :
2006
fDate :
Dec. 2006
Firstpage :
305
Lastpage :
310
Abstract :
In this paper, we present an evaluation of learning algorithms of a novel rule evaluation support method for postprocessing 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
Keywords :
data mining; knowledge based systems; learning (artificial intelligence); constructive meta-learning; data mining; rule evaluation support method; Costs; Data mining; Database systems; Humans; Information systems; Information technology; Learning systems; Machine learning algorithms; Predictive models; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
Type :
conf
DOI :
10.1109/ICDMW.2006.73
Filename :
4063644
Link To Document :
بازگشت