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A knowledge-based approach to statistical query processing

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Advances in Database Technology — EDBT '92 (EDBT 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 580))

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Abstract

Representation of statistical data is achieved by means of complex data structures. Such a complexity transfers directly to statistical data manipulations. Furthermore, the most meaningful statistical indicator resides in complex data structures. Our work is focused on simplifying manipulations of statistical data structures by means of StEM (Statistical database Expert Manager), a knowledge-based kernel. StEM acts as a deductive query processor between a high level query language and the set of low level DBMS primitives required for query resolution. StEM contains a Prolog knowledge base that provides transparency of complex data manipulations, allowing a real conceptual interaction with a statistical database.

This work has been partially supported by CNR under project MULTIDATA

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Alain Pirotte Claude Delobel Goerg Gottlob

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© 1992 Springer-Verlag Berlin Heidelberg

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Basili, C., Basili, R., Meo-Evoli, L. (1992). A knowledge-based approach to statistical query processing. In: Pirotte, A., Delobel, C., Gottlob, G. (eds) Advances in Database Technology — EDBT '92. EDBT 1992. Lecture Notes in Computer Science, vol 580. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032447

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  • DOI: https://doi.org/10.1007/BFb0032447

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55270-3

  • Online ISBN: 978-3-540-47003-8

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