Data mining service selection based on ontology and QoS constraint

To improve the matching degree of data mining service selection,this paper proposed an ontology-based data mining service selection approach with QoS constraint.Firstly,the paper introduced the ontology of data mining service and data mining service description model.Secondly,the paper defined a classification of data mining service matching degree based on data mining ontology with QoS constraint and the arithmetic of service matching degree,which solved the problem of service matching in data mining service selection.Experimental results show that the approach is feasible and obtains high recall and precision rates.