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Data Warehousing and Knowledge Discovery: Second International Conference, DaWaK 2000 London, UK, September 4–6, 2000 Proceedings
Author: Yahiko Kambayashi, Mukesh Mohania, A. Min Tjoa
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-67980-6
DOI: 10.1007/3-540-44466-1
Table of Contents:
- The Design and Development of a Logical System for OLAP
- Applying Vertical Fragmentation Techniques in Logical Design of Multidimensional Databases
- Space-Efficient Data Cubes for Dynamic Environments
- On Making Data Warehouses Active
- Supporting Hot Spots with Materialized Views
- Evaluation of Materialized View Indexing in Data Warehousing Environments
- View Derivation Graph with Edge Fitting for Adaptive Data Warehousing
- On the Importance of Tuning in Incremental View Maintenance: An Experience Case Study
- BEDAWA - A Tool for Generating Sample Data for Data Warehouses
- DyDa: Dynamic Data Warehouse Maintenance in a Fully Concurrent Environment
- Scalable Maintenance of Multiple Interrelated Data Warehousing Systems
- View Maintenance for Hierarchical Semistructured Data
- Maintaining Horizontally Partitioned Warehouse Views
- Funding Research in Data Warehousing and Knowledge Discovery EPROS: The European Plan for Research in Official Statistics
- Elimination of Redundant Views in Multidimensional Aggregates
- Data Cube Compression with QuantiCubes
- History-Driven View Synchronization
- A Logical Model for Data Warehouse Design and Evolution
- An Alternative Relational OLAP Modeling Approach
- Functional Dependencies in Controlling Sparsity of OLAP Cubes
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Previews available in: English
Subjects
Data warehousing, Congresses, Database searching, Data miningBook Details
First Sentence
"Nowadays, current technology provides a lot of software tools supporting data warehousing [3-6]."
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