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Generation of Symbolic Objects from Relational Databases

  • Véronique Stéphan
  • Georges Hébrail
  • Yves Lechevallier
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

In former chapters, we have defined the concept of a ‘symbolic object’ in a formal way (with various levels of generality) and illustrated these definitions and the related terminology by many examples. Thereby we have emphasized the two-level-paradigm where symbolic objects were created quite naturally when aggregating single individuals (described by classical single-valued variables) into classes, and describing the more or less complex properties of these classes. Here, we focus on the generalization process from a classical dataset extracted from a relational database. We also define a specialization step which aims at reducing over-generalization. Finally, we present how to build a symbolic dataset from several datasets by applying a join operator.

Keywords

Relational Database Generalization Operator Recursive Partitioning Query Type Generate Assertion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Véronique Stéphan
    • 1
    • 2
  • Georges Hébrail
    • 3
  • Yves Lechevallier
    • 1
  1. 1.Unité de RechercheINRIA-RocquencourtLe ChesnayFrance
  2. 2.LISE CEREMADEUniversité Paris IX — DauphineFrance
  3. 3.Electricité de France — Division R&DClamartFrance

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