数据仓储与知识发现： DaWaK 2006/会议录 Data warehousing and knowledge discovery

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in Krakow, Poland in September 2006 in conjunction with DEXA 2006.
The 53 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.

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ETL Processing
ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software
Applying Transformations to Model Driven Data Warehouses
Bulk Loading a Linear Hash File
Materialized View
Dynamic View Selection for OLAP
Preview: Optimizing View Materialization Cost in Spatial Data Warehouses
Preprocessing for Fast Refreshing Materialized Views in DB2
Multidimensional Design
A Multiversion-Based Multidimensional Model
Towards Multidimensional Requirement Design
Multidimensional Design by Examples
OLAP and Multidimensional Model
Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes
Analysing Multi-dimensional Data Across Autonomous Data Warehouses
What Time Is It in the Data Warehouse?
Cubes Processing
Computing Iceberg Quotient Cubes with Bounding
An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube
On the Computation of Maximal-Correlated Cuboids Cells Data Warehouse Applications
Warehousing Dynamic XML Documents
Integrating Different Grain Levels in a Medical Data
Warehouse Federation
A Versioning Management Model for Ontology-Based Data Warehouses
Data Warehouses in Grids with High QoS
Mining Techniques (1)
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
Efficient Mining of Dissociation Rules
……
Mining Techniques (2)
Frequent Itemsets
Mining Data Streams
Ontology-Based Mining
Clustering
Advanced Mining Techniques
Association Rules
Miscellaneous Applications
Classification
Author Index