Analysis of Large and Complex Data

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wilhelm, Adalbert F.X (Editor ), Kestler, Hans A. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Classification, Data Analysis, and Knowledge Organization,
Temas:
Mathematical statistics-Data processing.
Data mining.
Biometry.
Statistics .
Computer science-Mathematics.
Mathematical statistics.
Statistics and Computing.
Data Mining and Knowledge Discovery.
Biostatistics.
Statistics in Business, Management, Economics, Finance, Insurance.
Probability and Statistics in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I Invited Papers
  • Part II Big Data
  • Part III Clustering
  • Part IV Classification
  • Part V Regression and other Statistical Techniques
  • Part VI Applications
  • Part VII Data Analysis in Marketing
  • Part VIII Data Analysis in Finance
  • Part IX Data Analysis in Medicine and Life Sciences
  • Part X Data Analysis in Musicology
  • Part XI Data Analysis in Interdisciplinary Domains
  • Part XII Data Analysis in Social, Behavioural and Health Care Sciences
  • Part XIII Data Analysis in Library Science
  • .

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