classification methods considering both quantitative factors such as cost and demand, and qualitative factors such as functionality …, efficiency, and quality. The proposed integrated inventory ranking procedure will make use of three classification methods: ABC …

remote sensing images. According to the recent research status of domestic and international remote sensing classification … methods, the new study dynamics of remote sensing classification, such as artificial neural networks, support vector machine …

preference modelling, group decision making, classification methods, robustness analysis, process mining, and decision support …

In recent years in the fields of statistics and machine learning an increasing amount of so called local classification … methods has been developed. Local approaches to classification are not new, but have lately become popular. Well …

The inability to capture sequential patterns is a typical drawback of predictive classification methods. This caveat … might be overcome by modeling sequential independent variables by sequence-analysis methods. Combining classification … methods with sequenceanalysis methods enables classification models to incorporate non-time varying as well as sequential …