Data Warehousing and Knowledge Discovery

1. Front Matter

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2. Data Warehouse I

   1. A Tree Comparison Approach to Detect Changes in Data Warehouse Structures

      • Johann Eder, Christian Koncilia, Karl Wiggisser

      Pages 1-10

   2. Extending the UML for Designing Association Rule Mining Models for Data Warehouses

      • José Jacobo Zubcoff, Juan Trujillo

      Pages 11-21

   3. Event-Feeded Dimension Solution

      • Tho Manh Nguyen, Jaromir Nemec, Martin Windisch

      Pages 22-31

   4. XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses

      • Byung-Kwon Park, Hyoil Han, Il-Yeol Song

      Pages 32-42

3. Data Warehouse II

   1. Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates

      • Alkis Simitsis, Panos Vassiliadis, Manolis Terrovitis, Spiros Skiadopoulos

      Pages 43-52

   2. Extending UML 2 Activity Diagrams with Business Intelligence Objects

      • Veronika Stefanov, Beate List, Birgit Korherr

      Pages 53-63

   3. Automatic Selection of Bitmap Join Indexes in Data Warehouses

      • Kamel Aouiche, Jérôme Darmont, Omar Boussaïd, Fadila Bentayeb

      Pages 64-73

4. Evaluating Data Warehouses and Tools

   1. A Survey of Open Source Tools for Business Intelligence

      • Christian Thomsen, Torben Bach Pedersen

      Pages 74-84

   2. DWEB: A Data Warehouse Engineering Benchmark

      • Jérôme Darmont, Fadila Bentayeb, Omar Boussaïd

      Pages 85-94

   3. A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses

      • Gema Berenguer, Rafael Romero, Juan Trujillo, Manuel Serrano, Mario Piattini

      Pages 95-104

   4. Design and Development of a Tool for Integrating Heterogeneous Data Warehouses

      • Riccardo Torlone, Ivan Panella

      Pages 105-114

5. Schema Transformations

   1. An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse

      • Ladjel Bellatreche, Kamel Boukhalfa

      Pages 115-125

   2. Using Schema Transformation Pathways for Incremental View Maintenance

      • Hao Fan

      Pages 126-135

   3. Data Mapper: An Operator for Expressing One-to-Many Data Transformations

      • Paulo Carreira, Helena Galhardas, João Pereira, Antónia Lopes

      Pages 136-145

6. Materialized Views

   1. Parallel Consistency Maintenance of Materialized Views Using Referential Integrity Constraints in Data Warehouses

      • Jinho Kim, Byung-Suk Lee, Yang-Sae Moon, Soo-Ho Ok, Wookey Lee

      Pages 146-156

   2. Selective View Materialization in a Spatial Data Warehouse

      • Songmei Yu, Vijayalakshmi Atluri, Nabil Adam

      Pages 157-167

   3. PMC: Select Materialized Cells in Data Cubes

      • Hongsong Li, Houkuan Huang, Shijin Liu

      Pages 168-178

7. Aggregates

   1. Progressive Ranking of Range Aggregates

      • Hua-Gang Li, Hailing Yu, Divyakant Agrawal, Amr El Abbadi

      Pages 179-189

   2. On Efficient Storing and Processing of Long Aggregate Lists

      • Marcin Gorawski, Rafal Malczok

      Pages 190-199

For more than a decade, data warehousing and knowledge discovery technologies have been developing into key technologies for decision-making processes in com- nies. Since 1999, due to the relevant role of these technologies in academia and ind- try, the Data Warehousing and Knowledge Discovery (DaWaK) conference series have become an international forum where both practitioners and researchers share their findings, publish their relevant results and dispute in depth research issues and experiences on data warehousing and knowledge discovery systems and applications. The 7th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2005) continued series of successful conferences dedicated to these topics. In this edition, the conference tried to provide the right, logical balance between data warehousing and knowledge discovery. Regarding data warehousing, papers cover different relevant and still unsolved research problems, such as the modelling of ETL processes and integration problems, designing OLAP technologies from XML do- ments, modelling data warehouses and data mining applications together, impro- ments in query processing, partitioning and implementations. With regard to data mining, a variety of papers were presented on subjects including data mining te- niques, clustering, classification, text documents and classification, and patterns. These proceedings contain the technical papers that were selected for presentation at the conference. We received 196 abstracts, and finally received 162 papers from 38 countries, and the Program Committee eventually selected 51 papers, making an acceptance rate of 31.4 % of submitted papers.

• algorithms
• classification
• data mining
• data warehouse
• database
• knowledge discovery
• service-oriented computing
• tools
• warehousing

• Institute of Software Technology and Interactive Systems, Vienna University of Technology, Wien, Austria

  A Min Tjoa

• Department of Software and Computing Systems, University of Alicante, Spain

  Juan Trujillo

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