An Algebraic Method for Compressing Very Large Symbolic Data Tables

Yannis Tzitzikas

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Résumé

Although symbolic data tables summarize huge sets of data they can still become very large in size. This paper proposes a method for compressing a symbolic data table using the recently emerged Compound Term Composition Algebra. One charisma of CTCA is that the closed world hypotheses of its operations can lead to a remarkably high 'compression ratio'. The compacted form apart from having much lower storage space requirements, it allows designing more e±cient algorithms for symbolic data analysis.
langue originaleAnglais
titreProceedings of the Workshop on Symbolic and Spatial Data Analysis (SSDA) of ECML/PKDD 2004
Etat de la publicationPublié - 2004

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