Affiliations: Institut d'Informatique, Facultés Universitaires Notre Dame de la Paix, Rue Grandgagnage 21, B-5000, Belgium. E-mail: [email protected] | [x] Faculdade de Economia, University of Porto, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal. E-mail: [email protected] | [y] Institut d'Informatique, Facultés Universitaires Notre Dame de la Paix, Rue Grandgagnage, 21, B-5000 Namur, Belgium. E-mail: [email protected]
Correspondence:
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Current address and affiliation: Department of Computer Science, University of Crete, P.O. Box 2208, Heraklion, Crete, GR-714 09, Greece. Institute of Computer Science (ICS), Foundation for Research and Technology – Hellas (FORTH), Science and Technology Park of Crete, Vassilika Vouton, P.O.Box 1385, Heraklio, Crete, GR 7110, Greece. Tel.: +30 2810 391 621; Fax: +30 2810 391 638; E-mail: [email protected]; Web page: http://www.ics.forth.gr/~tzitzik.
Abstract: Although symbolic data tables summarize huge sets of data they can still become very large in size. This paper proposes a novel technique for compressing a symbolic data table using the recently emerged Compound Term Composition Algebra. One advantage 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 efficient algorithms for symbolic data analysis.
