Data warehousing and knowledge discovery

About this book

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