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5th DaWaK 2003: Prague, Czechia
- Yahiko Kambayashi, Mukesh K. Mohania, Wolfram Wöß:
Data Warehousing and Knowledge Discovery, 5th International Conference, DaWaK 2003, Prague, Czech Republic, September 3-5,2003, Proceedings. Lecture Notes in Computer Science 2737, Springer 2003, ISBN 3-540-40807-X - 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 - Binh Thanh Nguyen, A Min Tjoa
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
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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