Data Analysis, Machine Learning and Knowledge Discovery

Data analysis, machine learning and knowledge discovery 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,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Spiliopoulou, Myra (Editor ), Schmidt-Thieme, Lars (Editor ), Janning, Ruth (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Studies in Classification, Data Analysis, and Knowledge Organization,
Temas:
Mathematical statistics-Data processing.
Data mining.
Marketing.
Finance.
Biometry.
Psychology.
Statistics and Computing.
Data Mining and Knowledge Discovery.
Financial Economics.
Biostatistics.
Behavioral Sciences and Psychology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection
  • AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks
  • AREA Data Analysis and Classification in Marketing
  • AREA Data Analysis in Finance
  • AREA Data Analysis in Biostatistics and Bioinformatics
  • AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology.- LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science.

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