β Scribed by M Heydthausen; J Knop
No coin nor oath required. For personal study only.
The paper describes a method to construct data base structures for patient-related documentation. The data base structures are formed over suitable classes. Functional dependences are only investigated regarding these classes. Structuring items by means of arbitrary relations are possible, too. The results are well-formed flexible data structures which can serve as a common functional basis for many documentation projects.
π SIMILAR VOLUMES
## Abstract Information technology and data sharing policies have made more and more social science data available for secondary analysis. In secondary data analysis, documentation plays a critical role in transferring knowledge about data from data producers to secondary users. Despite its importa
## Abstract Data cubes for OLAP (OnβLine Analytical Processing) often need to be constructed from data located in several distributed and autonomous information sources. Such a data integration process is challenging due to semantic, syntactic, and structural heterogeneity among the data. While XML
## Abstract This article presents a study of the application of hierarchical classifiers based on the hierarchical mixtures of experts. In particular we present an extension of our work that explores the use of linear classifiers and a hybrid model that combines backpropagation neural networks with
A kinetic data structure KDS maintains an attribute of interest in a system of geometric objects undergoing continuous motion. In this paper we develop a concentual framework for kinetic data structures, we propose a number of criteria for the quality of such structures, and we describe a number of