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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15916
Title: Using large databases and self-organizing maps without tears
Authors: Bedregal, Carlos
Cuadros Vargas, Ernesto
Keywords: Access control;Information retrieval;Large scale systems;Multimedia systems;Self organizing maps;Access Methods;Performance improvement;Database systems
Issue Date: 2006
Publisher: Scopus
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-40649106040&partnerID=40&md5=6e2f52a5fef6b4643272c6737b8064c3
Abstract: Nowadays the need to process lots of complex multimedia databases is more frequent. Recent investigations such as MAM-SOM* and SAM-SOM* families propose the combination of Self-Organizing Maps (SOM) with Access Methods for a faster similarity information retrieval. In this investigation we present experimental results using recent Access Methods such as Slim-Tree and Omni-Sequential that show the improvement acquired by these techniques and their properties in contrast with a traditional SOM network, observing up to 90% of performance improvement. © 2006 IEEE.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15916
ISBN: urn:isbn:9780780394902
ISSN: 10987576
Appears in Collections:Artículos - Ciencia de la computación

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