Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
This paper outlines a methodology for designing information systems based on XML. The methodology uses XML DTDs to define the design standards, and the structure and constraints of...
Various models and approaches have been proposed for mapping XML data into relational tables recently. Most of those approaches produce relational schema for given XML data, based...
In this paper, we illustrate a preliminary approach to the translation of Web data between heterogeneous formats. This work fits into a larger project whose aim is the development...
Abstract. We present a method for mapping security levels among the components of a distributed system where data in the local sources are represented in XML. Distributed data is i...