数据仓储与知识发现

出版时间：2006-12  出版社：湖北辞书出版社  作者：Min Tjoa, A.; Trujillo, Juan;  页数：578  

内容概要

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.

书籍目录

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 FileMaterialized View  Dynamic View Selection for OLAP  Preview: Optimizing View Materialization Cost in Spatial Data Warehouses  Preprocessing for Fast Refreshing Materialized Views in DB2Multidimensional Design  A Multiversion-Based Multidimensional Model  Towards Multidimensional Requirement Design  Multidimensional Design by ExamplesOLAP 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 ApplicationsWarehousing 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 QoSMining Techniques (1)  Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods  Efficient Mining of Dissociation Rules  ……Mining Techniques (2)Frequent ItemsetsMining Data StreamsOntology-Based MiningClusteringAdvanced Mining TechniquesAssociation RulesMiscellaneous ApplicationsClassificationAuthor Index