Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery: Second International Conference, DaWaK 2000 London, UK, September 4–6, 2000 ProceedingsAuthor: Yahiko Kambayashi, Mukesh Mohania, A. Min Tjoa Published by Springer Berlin Heidelberg ISBN: 978-3-540-67980-6 DOI: 10.1007/3-540-44466-1Table 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