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
Clasificación:Libro Electrónico
Autores principales: Adhikari, Animesh (Autor), Adhikari, Jhimli (Autor), Pedrycz, Witold (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Intelligent Systems Reference Library, 61
Temas:
Computational intelligence.
Pattern recognition systems.
Data mining.
Computational Intelligence.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
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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