5. DaWaK 2003: Prague, Czech Repblic

• Peter Fankhauser, Thomas Klement:
  XML for Data Warehousing Chances and Challenges: (Extended Abstract). 1-3
  
• Andreas S. Maniatis, Panos Vassiliadis, Spiros Skiadopoulos, Yannis Vassiliou:
  CPM: A Cube Presentation Model for OLAP. 4-13
  
• Changqing Chen, Jianlin Feng, Longgang Xiang:
  Computation of Sparse Data Cubes with Constraints. 14-23
  
• Elaheh Pourabbas, Arie Shoshani:
  Answering Joint Queries from Multiple Aggregate OLAP Databases. 24-34
  
• Long Zhang, Ying Li, Fangyan Rao, Xiulan Yu, Ying Chen, Dong Liu:
  An Approach to Enabling Spatial OLAP by Aggregating on Spatial Hierarchy. 35-44
  
• Meng-Feng Tsai, Wesley W. Chu:
  A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations. 45-54
  
• Enrico Franconi, Anand Kamble:
  The GMD Data Model for Multidimensional Information: A Brief Introduction. 55-65
  
• Yahiko Kambayashi:
  An Application of Case-Based Reasoning in Multidimensional Database Architecture. 66-75
  
• Nguyen Thanh Binh, A. Min Tjoa, Oscar Mangisengi:
  MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems. 76-88
  
• Boris Vrdoljak, Marko Banek, Stefano Rizzi:
  Designing Web Warehouses from XML Schemas. 89-98
  
• Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Min Tjoa:
  Building XML Data Warehouse Based on Frequent Patterns in User Queries. 99-108
  
• Carme Martín, Alberto Abelló:
  A Temporal Study of Data Sources to Load a Corporate Data Warehouse. 109-118
  
• Johann Eder, Christian Koncilia, Dieter Mitsche:
  Automatic Detection of Structural Changes in Data Warehouses. 119-128
  
• Rosana L. de B. A. Rocha, Leonardo Figueiredo Cardoso, Jano Moreira de Souza:
  Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin. 129-139
  
• Federico Michele Facca, Pier Luca Lanzi:
  Recent Developments in Web Usage Mining Research. 140-150
  
• Kikuko Kawase, Minoru Kawahara, Takeshi Iwashita, Hiroyuki Kawano, Masanori Kawazawa:
  Parallel Vector Computing Technique for Discovering Communities on the Very Large Scale Web Graph. 151-160
  
• Sylvie Guillaume:
  Ordinal Association Rules towards Association Rules. 161-171
  
• Sonajharia Minz, Rajni Jain:
  Rough Set Based Decision Tree Model for Classification. 172-181
  
• Shih-Hsiang Lo, Jian Chih Ou, Ming-Syan Chen:
  Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes. 182-191
  
• Been-Chian Chien, Jui-Hsiang Yang, Wen-Yang Lin:
  Generating Effective Classifiers with Supervised Learning of Genetic Programming. 192-201
  
• Masahiro Motoyoshi, Takao Miura, Isamu Shioya:
  Clustering by Regression Analysis. 202-211
  
• Matteo Golfarelli:
  Handling Large Workloads by Profiling and Clustering. 212-223
  
• Hans-Peter Kriegel, Peer Kröger, Irina Gotlibovich:
  Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering. 224-233
  
• Zhixiang Chen, Ada Wai-Chee Fu, Jian Tang:
  On Complementarity of Cluster and Outlier Detection Schemes. 234-243
  
• Vladimir Estivill-Castro, Jianhua Yang:
  Cluster Validity Using Support Vector Machines. 244-256
  
• Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim:
  FSSM: Fast Construction of the Optimized Segment Support Map. 257-266
  
• Michael Dittenbach, Dieter Merkl, Helmut Berger:
  Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited. 267-277
  
• Yew Kwong Woon, Xiang Li, Wee Keong Ng, Wen-Feng Lu:
  Parameterless Data Compression and Noise Filtering Using Association Rule Mining. 278-287
  
• P. Mishra, Sharma Chakravarthy:
  Performance Evaluation of SQL-OR Variants for Association Rule Mining. 288-298
  
• Chen Zheng, Yanfen Zhao:
  A Distance-Based Approach to Find Interesting Patterns. 299-308
  
• Hans-Peter Kriegel, Stefan Schönauer:
  Similarity Search in Structured Data. 309-319
  
• Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James Geller:
  Using an Interest Ontology for Improved Support in Rule Mining. 320-329
  
• Bharat K. Bhargava, Yuhui Zhong, Yunhua Lu:
  Fraud Formalization and Detection. 330-339
  
• Choh-Man Teng:
  Combining Noise Correction with Feature Selection. 340-349
  
• Francesco Buccafurri, Gianluca Lax:
  Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram. 350-359
  
• Kimmo Hätönen, Jean-François Boulicaut, Mika Klemettinen, Markus Miettinen, Cyrille Masson:
  Comprehensive Log Compression with Frequent Patterns. 360-370
  
• Mohammad El-Hajj, Osmar R. Zaïane:
  Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations. 371-380
  
• Jianchao Han, Xiaohua Hu, Tsau Young Lin:
  A New Computation Model for Rough Set Theory Based on Database Systems. 381-390
  
• Antonio Badia:
  Computing SQL Queries with Boolean Aggregates. 391-400
  
• Antonio Badia, Dev Anand:
  Fighting Redundancy in SQL. 401-411
  
• Pedro Furtado:
  "On-the-fly" VS Materialized Sampling and Heuristics. 412-421
  
• Amund Tveit, Magnus Lie Hetland, Håavard Engum:
  Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients. 422-423
  

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