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Data warehousing and knowledge discovery : Second International Conference, DaWak 2000, London, UK, September 4-6, 2000 : proceedings by DaWak 2000 (2000 : London, England)

Book Information

TitleData warehousing and knowledge discovery : Second International Conference, DaWak 2000, London, UK, September 4-6, 2000 : proceedings
CreatorDaWak 2000 (2000 : London, England), Kambayashi, Y, Mohania, Mukesh, Tjoa, A Min
Year2000
PPI300
PublisherBerlin ; New York : Springer
LanguageEnglish
Mediatypetexts
SubjectData warehousing, Database searching
ISBN3540679804
Collectionfolkscanomy_miscellaneous, folkscanomy, additional_collections
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Identifierspringer_10.1007-3-540-44466-1
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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, Includes bibliographical references and index