Proposal of a Logical Model for Statistical Data Base.

@inproceedings{DBLP:conf/ssdbm/RafanelliR83,
  author    = {Maurizio Rafanelli and
               Fabrizio L. Ricci},
  editor    = {Roy Hammond and
               John L. McCarthy},
  title     = {Proposal of a Logical Model for Statistical Data Base},
  booktitle = {Proceedings of the Second International Workshop on Statistical
               Database Management, Los Altos, California, USA, September 27-29,
               1983},
  publisher = {Lawrence Berkeley Laboratory},
  year      = {1983},
  pages     = {264-272},
  ee        = {db/conf/ssdbm/RafanelliR83.html},
  crossref  = {DBLP:conf/ssdbm/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

In this paper the Authors propose a logical model (called GRASS) for representing both the properties of a Statistical Data Base (S.D.B.) and the tables view, which represent the peculiar reality of statistical user.

The proposed model consists of a marked, labeled, direct, connected, acyclic, partially ordered graph. For this graph nodes semantics and connection andbranchingrules are provided. A cognitive and selective approach to how navigate through category attributes and summary data are given too. Finally, some facilities of the model are discussed and a comment is made.

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