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1
SIREN : a similarity retrieval engine for complex data:
, In:
Proceedings of the 32nd international conference on Very large data bases
,
Barioni, Maria Camila N.
;
Razente, Humberto
;
Traina, Agma
. - p. 1155-1158 , 2006
Link:
https://dl.acm.org/doi/10.5555/1182635.1164232
RT T1 <cTitle>Proceedings of the 32nd international conference on Very large data bases</cTitle>: T1 <Title>SIREN : a similarity retrieval engine for complex data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-1164232&Exemplar=1&LAN=DE A1 Barioni, Maria Camila N. A1 Razente, Humberto A1 Traina, Agma A1 Traina Jr., Caetano PB VLDB Endowment YR 2006 K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Data management systems K1 Query languages K1 Relational database query languages K1 Retrieval tasks and goals K1 Clustering and classification K1 Database design and models K1 Relational database model K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis K1 Information systems applications K1 Data mining K1 Clustering SP 1155 OP 1158 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/1182635.1164232 DO https://dl.acm.org/doi/10.5555/1182635.1164232 SF ELIB - SuUB Bremen
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