Foundations and Advances in Data Mining

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Chu, Wesley (Editor ), Lin, Tsau Young (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Studies in Fuzziness and Soft Computing, 180
Temas:
Computer science.
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Computer networks .
Computer science-Mathematics.
Theory of Computation.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Computer Communication Networks.
Mathematical Applications in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • The Mathematics of Learning
  • Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules
  • A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set
  • A New Theoretical Framework for K-means-type Clustering
  • Clustering via Decision Tree Construction
  • Incremental Mining on Association Rules
  • Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets
  • Sequential Pattern Mining by Pattern-Growth: Principles and Extensions
  • Web Page Classification
  • Web Mining - Concepts, Applications, and Research Directions
  • Privacy-Preserving Data Mining.

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