Combinatorial Pattern Matching 25th Annual Symposium, CPM 2014, Moscow, Russia, June 16-18, 2014. Proceedings /

This book constitutes the refereed proceedings of the 25th Annual Symposium on Combinatorial Pattern Matching, CPM 2014, held in Moscow, Russia, in June 2014. The 28 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 54 submissions. The papers addre...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Kulikov, Alexander S. (Editor ), Kuznetsov, Sergei O. (Editor ), Pevzner, Pavel (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Theoretical Computer Science and General Issues, 8486
Temas:
Pattern recognition systems.
Algorithms.
Numerical analysis.
Computer science-Mathematics.
Discrete mathematics.
Artificial intelligence-Data processing.
Bioinformatics.
Automated Pattern Recognition.
Numerical Analysis.
Discrete Mathematics in Computer Science.
Data Science.
Computational and Systems Biology.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the refereed proceedings of the 25th Annual Symposium on Combinatorial Pattern Matching, CPM 2014, held in Moscow, Russia, in June 2014. The 28 revised full papers presented together with 5 invited talks were carefully reviewed and selected from 54 submissions. The papers address issues of searching and matching strings and more complicated patterns such as trees; regular expressions; graphs; point sets; and arrays. The goal is to derive combinatorial properties of such structures and to exploit these properties in order to achieve superior performance for the corresponding computational problems. The meeting also deals with problems in computational biology; data compression and data mining; coding; information retrieval; natural language processing; and pattern recognition.
Descripción Física:XXII, 283 p. 38 illus. online resource.
ISBN:9783319075662
ISSN:2512-2029 ;

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