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...
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boston, MA :
Springer US
2009.
|
| Colección: | Annals of Information Systems,
3. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b36154118*spi |
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.
