Data Analysis and Pattern Recognition in Multiple Databases

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the...

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Detalles Bibliográficos
Autor principal: Adhikari, Animesh
Otros Autores: Adhikari, Jhimli, Pedrycz, Witold
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Colección:Intelligent Systems Reference Library, 61
Materias:
Data mining.
Engineering.
Computational Intelligence.
Pattern Recognition.
Acceso en línea:http://dx.doi.org/10.1007/978-3-319-03410-2
Aporte de:Registro referencial: Solicitar el recurso aquí
Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata
Tabla de Contenidos:
  • From the Contents: Synthesizing Different Extreme Association Rules in Multiple Data Sources
  • Clustering items in time-stamped databases induced by stability
  • Mining global patterns in multiple large databases
  • Clustering Local Frequency Items in Multiple Data Sources
  • Mining Patterns of Select Items in Different Data Sources.

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