分類ルール評価指標を用いたデータセット類似度分析

抄録

In this paper, we present a method to characterize given datasets based on objective rule evaluation indices and classification rule learning algorithms. For transfer learning approach, most of methods to detect the limitations use performance indices of sets of classifiers such as accuracies of classifier sets. However, those of each classifier are also useful. By considering the issue, we performed a case study to identify similarity of datasets even if the datasets have totally different attribute sets, comparing with the conventional data characterizing technique.