New Trends in Data Warehousing and Data Analysis

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Nowadays, knowledge-based management systems include data warehouses as their core components. The purpose of building a data warehouse is...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Kozielski, Stanislaw (Editor ), Wrembel, Robert (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Annals of Information Systems, 3
Temas:
Business information services.
Information storage and retrieval systems.
Database management.
Operations research.
Management.
Computer networks .
IT in Business.
Information Storage and Retrieval.
Database Management.
Operations Research and Decision Theory.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Warehousing The World: A Vision for Data Warehouse Research
  • Near Real Time ETL
  • Data Warehousing Meets MDA
  • Personalization and OLAP Databases
  • A Metamodel for the Specification of Geographical Data
  • Pushing Theoretically-Founded Probabilistic Guarantees in
  • Closed Cube Lattices
  • Design and Analysis of Index Structures in MultiVersion Data
  • Using Bitmap Index for Joint Queries on Structured and Text Data
  • HP&BJI: A Combined Selection of Data Partitioning and Join
  • Cost Model for X-BR-tree
  • Querying and Mining Trajectory Databases Using Places of Interest
  • OLAP-Sequential Mining: Summarizing Trends from Historical
  • Modeling and Querying Temporal Semistructured Data
  • Designing and Implementing OLAP Systems from XML Documents.

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