Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery: 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004. ProceedingsAuthor: Yahiko Kambayashi, Mukesh Mohania, Wolfram Wöß Published by Springer Berlin Heidelberg ISBN: 978-3-540-22937-7 DOI: 10.1007/b99817Table of Contents:Conceptual Design of XML Document Warehouses
Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses
GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas
Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses
Novelty Framework for Knowledge Discovery in Databases
Revisiting Generic Bases of Association Rules
Mining Maximal Frequently Changing Subtree Patterns from XML Documents
Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents
Space-Efficient Range-Sum Queries in OLAP
Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees
Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding
An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses
A Partial Pre-aggregation Scheme for HOLAP Engines
Discovering Multidimensional Structure in Relational Data
Inductive Databases as Ranking
Inductive Databases of Polynomial Equations
From Temporal Rules to Temporal Meta-rules
How Is BI Used in Industry?: Report from a Knowledge Exchange Network
Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments
Exploring Possible Adverse Drug Reactions by Clustering Event Sequences