Integrated Uncertainty in Knowledge Modelling and Decision Making International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013, Proceedings /

This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented tog...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Qin, Zengchang (Editor ), Huynh, Van-Nam (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Lecture Notes in Artificial Intelligence, 8032
Temas:
Artificial intelligence.
Data mining.
Algorithms.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-642-39515-4
003 DE-He213
005 20221012193446.0
007 cr nn 008mamaa
008 130622s2013 gw | s |||| 0|eng d
020 |a 9783642395154  |9 978-3-642-39515-4 
024 7 |a 10.1007/978-3-642-39515-4  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Integrated Uncertainty in Knowledge Modelling and Decision Making  |h [electronic resource] :  |b International Symposium, IUKM 2013, Beijing, China, July 12-14, 2013, Proceedings /  |c edited by Zengchang Qin, Van-Nam Huynh. 
250 |a 1st ed. 2013. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 |a XII, 219 p. 61 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 8032 
520 |a This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management. 
650 0 |a Artificial intelligence. 
650 0 |a Data mining. 
650 0 |a Algorithms. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Algorithms. 
700 1 |a Qin, Zengchang.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Huynh, Van-Nam.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642395161 
776 0 8 |i Printed edition:  |z 9783642395147 
830 0 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 8032 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-39515-4  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

Ejemplares similares