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An Algebraic Method for Compressing Very Large Symbolic Data Tables
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tzitzikas, Yannis Grandgagnage, Rue |
| Copyright Year | 2004 |
| Abstract | 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 ecient algorithms for symbolic data analysis. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://staff.info.unamur.be/dbm/publication/2004/SSDA_2004.pdf |
| Alternate Webpage(s) | http://users.ics.forth.gr/~tzitzik/publications/Tzitzikas_2004_SSDA.pdf |
| Alternate Webpage(s) | http://www.info.fundp.ac.be/~ytz/publications/Tzitzikas_SSDA_2004.pdf |
| Alternate Webpage(s) | http://www.ics.forth.gr/~tzitzik/publications/Tzitzikas_SSDA_2004.pdf |
| Alternate Webpage(s) | http://users.ics.forth.gr/~tzitzik/publications/Tzitzikas_SSDA_2004.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |