Data warehousing and knowledge discovery : 5th international conference, DaWaK 2003, Prague, Czech Republic, September 3-5, 2003 : proceedings

This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification. Front Matter....Pages - XML for Data Warehousing Chances and Challenges....Pages 1-3 CPM: A Cube Presentation Model for OLAP....Pages 4-13 Computation of Sparse Data Cubes with Constraints....Pages 14-23 Answering Joint Queries from Multiple Aggregate OLAP Databases....Pages 24-34 An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy....Pages 35-44 A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations....Pages 45-54 The GMD Data Model for Multidimensional Information: A Brief Introduction....Pages 55-65 An Application of Case-Based Reasoning in Multidimensional Database Architecture....Pages 66-75 MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems....Pages 76-88 Designing Web Warehouses from XML Schemas....Pages 89-98 Building XML Data Warehouse Based on Frequent Patterns in User Queries....Pages 99-108 A Temporal Study of Data Sources to Load a Corporate Data Warehouse....Pages 109-118 Automatic Detection of Structural Changes in Data Warehouses....Pages 119-128 Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin....Pages 129-139 Recent Developments in Web Usage Mining Research....Pages 140-150 Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph....Pages 151-160 Ordinal Association Rules towards Association Rules....Pages 161-171 Rough Set Based Decision Tree Model for Classification....Pages 172-181 Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes....Pages 182-191 Generating Effective Classifiers with Supervised Learning of Genetic Programming....Pages 192-201 Clustering by Regression Analysis....Pages 202-211 Handling Large Workloads by Profiling and Clustering....Pages 212-223 Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering....Pages 224-233 On Complementarity of Cluster and Outlier Detection Schemes....Pages 234-243 Cluster Validity Using Support Vector Machines....Pages 244-256 FSSM: Fast Construction of the Optimized Segment Support Map....Pages 257-266 Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited....Pages 267-277 Parameterless Data Compression and Noise Filtering Using Association Rule Mining....Pages 278-287 Performance Evaluation of SQL-OR Variants for Association Rule Mining....Pages 288-298 A Distance-Based Approach to Find Interesting Patterns....Pages 299-308 Similarity Search in Structured Data....Pages 309-319 Using an Interest Ontology for Improved Support in Rule Mining....Pages 320-329 Fraud Formalization and Detection....Pages 330-339 Combining Noise Correction with Feature Selection....Pages 340-349 Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram....Pages 350-359 Comprehensive Log Compression with Frequent Patterns....Pages 360-370 Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations....Pages 371-380 A New Computation Model for Rough Set Theory Based on Database Systems....Pages 381-390 Computing SQL Queries with Boolean Aggregates....Pages 391-400 Fighting Redundancy in SQL....Pages 401-411 “On-the-fly” VS Materialized Sampling and Heuristics....Pages 412-421 Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients....Pages 422-429 Back Matter....Pages - Data Warehousing and Knowledge Discovery: Second International Conference, DaWaK 2000 London, UK, September 4–6, 2000 Proceedings Author: Yahiko Kambayashi, Mukesh Mohania, A. Min Tjoa Published by Springer Berlin Heidelberg ISBN: 978-3-540-67980-6 DOI: 10.1007/3-540-44466-1 Table 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

This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003.

The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification.

In the last years, On-Line Analytical Processing (OLAP) and data warehousing has become a major research area in the database community [1, 2].