A Statistical Data Manipulation Language.

@inproceedings{DBLP:conf/ssdbm/BarsottiniF83,
  author    = {G. Barsottini and
               J. C. Farget},
  editor    = {Roy Hammond and
               John L. McCarthy},
  title     = {A Statistical Data Manipulation Language},
  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     = {178-186},
  ee        = {db/conf/ssdbm/BarsottiniF83.html},
  crossref  = {DBLP:conf/ssdbm/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

A new Data Model based on a set theoretic approach is proposed here; it is intended to fit the statisticians requirements by giving them the ability to describe data in terms of classes of objects which are ordered according to users needs. Classes are identified by the handle which is a set of attributes; they are gathered in collections.

Based on that Model a Statistical Data Manipulation Language (SDML) is presented to provide tools for Statistical Manipulations on Collections. Basic classes of operations are Retrieve, partition, internal or inter-object arithmetical operations and join of collections. The SDML has been designed to be concise, user-friendly and extensible.

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