CROSS-DB
Wolfgang Lehner, Thomas Ruf, Michael Teschke · 1996
Statistical and scientijic computing applications exhibit characteristics that are fundamentally differ ent [rom classical database system application domains.Tne CROSS-DB data model presented in this paper is optimized for use in such applications by providing advanced data modelling methods and application-oriented query facilities, thus providing a framework for optimized data management proce dures.CROSS-DB (which stands for Classijication oriented, Redundancy-based Optimization of Statisti cal and Scientijic DataBases) is based on a multidi mensional data view.Tne model dijfers from other approaches by offering two complementary mecha nisms for structuring qualifying information, classiji cation and feature description.Using these mecha nisms results in a normalized, low-dimensional data base schema which ensures both, modelling uniqueness and understandability while providing enhanced modelling jlexibility.