Outlier Analysis

With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach thi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Aggarwal, Charu C. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Temas:
Data mining.
Artificial intelligence.
Mathematical statistics-Data processing.
Data protection.
Database management.
Information storage and retrieval systems.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Statistics and Computing.
Data and Information Security.
Database Management.
Information Storage and Retrieval.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Outlier Analysis
  • Probabilistic and Statistical Models for Outlier Detection
  • Linear Models for Outlier Detection
  • Proximity-based Outlier Detection
  • High-Dimensional Outlier Detection: The Subspace Method
  • Supervised Outlier Detection
  • Outlier Detection in Categorical, Text and Mixed Attribute Data
  • Time Series and Multidimensional Streaming Outlier Detection
  • Outlier Detection in Discrete Sequences
  • Spatial Outlier Detection
  • Outlier Detection in Graphs and Networks
  • Applications of Outlier Analysis.

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