A CP-based approach for mining sequential patterns with quantities
Contenido multimedia no disponible por derechos de autor o por acceso restringido. Contacte con la institución para más información.
Tag | 1 | 2 | Valor |
---|---|---|---|
LDR | 00000cab a2200000 4500 | ||
001 | MAP20230009901 | ||
003 | MAP | ||
005 | 20231214131725.0 | ||
008 | 230519e2023 esp|||p |0|||b|eng d | ||
040 | $aMAP$bspa$dMAP | ||
084 | $a922.134 | ||
100 | $0MAPA20230004005$aKemmar, Amina | ||
245 | 1 | 0 | $aA CP-based approach for mining sequential patterns with quantities$cAmina Kemmar, Chahira Touati, Yahia Lebbah |
520 | $aThis paper addresses the problem of mining sequential patterns (SPM) from data represented as a set of sequences. In this work, we are interested in sequences of items in which each item is associated with its quantity. To the best of our knowledge, existing approaches don't allow to handle this kind of sequences under constraints. In the other hand, several proposals show the efficiency of constraint programming (CP) to solve SPM problem dealing with several kind of constraints | ||
650 | 4 | $0MAPA20080563851$aProgramación | |
650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
700 | 1 | $0MAPA20230004012$aTouati, Chahira | |
700 | 1 | $0MAPA20230004029$aLebbah, Yahia | |
773 | 0 | $wMAP20200034445$g13/03/2023 Volumen 26 Número 71 - marzo 2023 , 12 p.$x1988-3064$tRevista Iberoamericana de Inteligencia Artificial$d : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- | |
856 | 0 | 0 | $yMÁS INFORMACIÓN$u mailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%20%0A%0A%5Banote%20aqu%C3%AD%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%20y%20nos%20pondremos%20en%20contacto%20con%20usted%5D%20%0A%0AGracias%20%0A |