| dc.contributor.author |
Oosthuizen, G.D.
|
|
| dc.date.accessioned |
2026-02-27T12:56:56Z |
|
| dc.date.available |
2026-02-27T12:56:56Z |
|
| dc.date.issued |
1989-11-29 |
|
| dc.identifier.citation |
Oosthuizen, G.D. 1989. The use of a lattice for fast pattern matching. In: Kritzinger, P. (Ed.) 1989. Proceedings of the 5th Southern African Computer Symposium, 1989. Cape Town: SAICS, pp. 109-117. |
en_US |
| dc.identifier.uri |
https://ir.unisa.ac.za/handle/10500/32208 |
|
| dc.description |
Artificial intelligence |
en_US |
| dc.description.abstract |
Pattern recognition involves the matching of a given pattern against a collection of patterns in store in order to identify the given pattern as belonging to a particular class already known to the system or not. Similarly, data retrieval from content addressable storage involves the matching of a partial pattern against a collection of patterns in store in order to retrieve the required pattern.
This matching procedure can be made very efficient by integrating stored patterns into a graphical structure called a lattice. The lattice forms an optimal indexing mechanism and supports fast parallel matching. The indexing mechanism is optimal because it is both complete and minimal: all possible indices to a particular pattern are generated, and indices are integrated maximally, i.e. paths to similar patterns overlap as much as possible and thereby prevent duplication. Moreover, the indexing mechanism is robust: if faulty or partial information is supplied, the lattice is guaranteed to provide the best approximate answer. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
SAICS |
en_US |
| dc.subject |
Knowledge processing |
en_US |
| dc.subject |
Matching |
en_US |
| dc.subject |
Clustering |
en_US |
| dc.subject |
Indexing |
en_US |
| dc.subject |
Information retrieval |
en_US |
| dc.title |
The use of a lattice for fast pattern matching |
en_US |
| dc.type |
Book chapter |
en_US |