Data Analysis, Machine Learning and Applications Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 /

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Preisach, Christine (Editor ), Burkhardt, Hans (Editor ), Schmidt-Thieme, Lars (Editor ), Decker, Reinhold (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Studies in Classification, Data Analysis, and Knowledge Organization,
Temas:
Artificial intelligence.
Statistics .
Business information services.
Data mining.
Artificial Intelligence.
Statistics.
IT in Business.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Classification
  • Clustering
  • Multidimensional Data Analysis
  • Analysis of Complex Data
  • Exploratory Data Analysis and Tools for Data Analysis
  • Marketing and Management Science
  • Banking and Finance
  • Business Intelligence
  • Text Mining, Web Mining, and the Semantic Web
  • Linguistics
  • Data Analysis in Humanities.

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