作者：Zhao, HM; Soofi, ES
作者单位：University of Wisconsin System; University of Wisconsin Milwaukee
摘要：Identifying attribute correspondences across heterogeneous databases is a critical and time-consuming step in integrating the databases. Past research has applied correlation analysis techniques to explore correspondences between attributes. These techniques, however, are appropriate for numeric attributes that are linearly related. This paper proposes an information-theoretic approach to exploring correspondences between attributes in heterogeneous databases. The proposed approach is applicab...
