Data warehousing and knowledge discovery

Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004. Proceedings<br />Author: Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-22937-7<br /> DOI: 10.1007/b99817<br /><br />Table of Contents:<p></p><ul><li>Conceptual Design of XML Document Warehouses
</li><li>Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses
</li><li>GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas
</li><li>Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses
</li><li>Novelty Framework for Knowledge Discovery in Databases
</li><li>Revisiting Generic Bases of Association Rules
</li><li>Mining Maximal Frequently Changing Subtree Patterns from XML Documents
</li><li>Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents
</li><li>Space-Efficient Range-Sum Queries in OLAP
</li><li>Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees
</li><li>Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding
</li><li>An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses
</li><li>A Partial Pre-aggregation Scheme for HOLAP Engines
</li><li>Discovering Multidimensional Structure in Relational Data
</li><li>Inductive Databases as Ranking
</li><li>Inductive Databases of Polynomial Equations
</li><li>From Temporal Rules to Temporal Meta-rules
</li><li>How Is BI Used in Industry?: Report from a Knowledge Exchange Network
</li><li>Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments
</li><li>Exploring Possible Adverse Drug Reactions by Clustering Event Sequences</li></ul>