Data Warehousing and Knowledge Discovery

Description:

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

subjects: Data warehousing,  Congresses,  Database searching,  Data mining