CROSS-DB: A Feature-Extended Multidimensional Data Model for Statistical and Scientific Databases.

Wolfgang Lehner, Thomas Ruf, Michael Teschke: CROSS-DB: A Feature-Extended Multidimensional Data Model for Statistical and Scientific Databases. CIKM 1996: 253-260

@inproceedings{DBLP:conf/cikm/LehnerRT96,
  author    = {Wolfgang Lehner and
               Thomas Ruf and
               Michael Teschke},
  title     = {CROSS-DB: A Feature-Extended Multidimensional Data Model for
               Statistical and Scientific Databases},
  booktitle = {CIKM '96, Proceedings of the Fifth International Conference on
               Information and Knowledge Management, November 12 - 16, 1996,
               Rockville, Maryland, USA},
  publisher = {ACM},
  year      = {1996},
  pages     = {253-260},
  ee        = {db/conf/cikm/LehnerRT96.html, http://doi.acm.org/10.1145/238355.238547},
  crossref  = {DBLP:conf/cikm/96},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

Statistical and scientific computing applications exhibit characteristics that are fundamentally different from classical database system application domains. The 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 procedures. CROSS-DB (which stands for Classification-oriented, Redundancy-based Optimization of Statistical and Scientific DataBases) is based on a multidimensional data view. The model differs from other approaches by offering two complementary mechanisms for structuring qualifying information, classification and feature description. Using these mechanisms results in a normalized, low-dimensional database schema which ensures both, modelling uniqueness and understandability while providing enhanced modelling flexibility.

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CIKM '96, Proceedings of the Fifth International Conference on Information and Knowledge Management, November 12 - 16, 1996, Rockville, Maryland, USA. ACM 1996
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Referenced by

Carsten Sapia, Markus Blaschka, Gabriele Höfling, Barbara Dinter: Extending the E/R Model for the Multidimensional Paradigm. ER Workshops 1998: 105-116
Wolfgang Lehner: Modelling Large Scale OLAP Scenarios. EDBT 1998: 153-167
Arie Shoshani: OLAP and Statistical Databases: Similarities and Differences. PODS 1997: 185-196
Wolfgang Lehner, Thomas Ruf: A Redundancy-Based Optimization Approach for Aggregation in Multidimensional Scientific and Atatistical Databases. DASFAA 1997: 253-262
Andreas Bauer, Wolfgang Lehner: The Cube-Query-Languages (CQL) for Multidimensional Statistical and Scientific Database Systems. DASFAA 1997: 263-272

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