5. DaWaK 2003:
Prague,
Czech Repblic
Yahiko Kambayashi, Mukesh K. Mohania, Wolfram Wöß (Eds.):
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 BibTeX
- Peter Fankhauser, Thomas Klement:
XML for Data Warehousing Chances and Challenges: (Extended Abstract).
1-3
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- Andreas S. Maniatis, Panos Vassiliadis, Spiros Skiadopoulos, Yannis Vassiliou:
CPM: A Cube Presentation Model for OLAP.
4-13
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- Changqing Chen, Jianlin Feng, Longgang Xiang:
Computation of Sparse Data Cubes with Constraints.
14-23
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- Elaheh Pourabbas, Arie Shoshani:
Answering Joint Queries from Multiple Aggregate OLAP Databases.
24-34
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- 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
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- Meng-Feng Tsai, Wesley W. Chu:
A Multidimensional Aggregation Object (MAO) Framework for Computing Distributive Aggregations.
45-54
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- Enrico Franconi, Anand Kamble:
The GMD Data Model for Multidimensional Information: A Brief Introduction.
55-65
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- Yahiko Kambayashi:
An Application of Case-Based Reasoning in Multidimensional Database Architecture.
66-75
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- Nguyen Thanh Binh, A. Min Tjoa, Oscar Mangisengi:
MetaCube XTM: A Multidimensional Metadata Approach for Semantic Web Warehousing Systems.
76-88
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- Boris Vrdoljak, Marko Banek, Stefano Rizzi:
Designing Web Warehouses from XML Schemas.
89-98
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- Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Min Tjoa:
Building XML Data Warehouse Based on Frequent Patterns in User Queries.
99-108
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- Carme Martín, Alberto Abelló:
A Temporal Study of Data Sources to Load a Corporate Data Warehouse.
109-118
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- Johann Eder, Christian Koncilia, Dieter Mitsche:
Automatic Detection of Structural Changes in Data Warehouses.
119-128
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- 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
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- Federico Michele Facca, Pier Luca Lanzi:
Recent Developments in Web Usage Mining Research.
140-150
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- 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
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- Sylvie Guillaume:
Ordinal Association Rules towards Association Rules.
161-171
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- Sonajharia Minz, Rajni Jain:
Rough Set Based Decision Tree Model for Classification.
172-181
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- Shih-Hsiang Lo, Jian Chih Ou, Ming-Syan Chen:
Inference Based Classifier: Efficient Construction of Decision Trees for Sparse Categorical Attributes.
182-191
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- Been-Chian Chien, Jui-Hsiang Yang, Wen-Yang Lin:
Generating Effective Classifiers with Supervised Learning of Genetic Programming.
192-201
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- Masahiro Motoyoshi, Takao Miura, Isamu Shioya:
Clustering by Regression Analysis.
202-211
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- Matteo Golfarelli:
Handling Large Workloads by Profiling and Clustering.
212-223
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- Hans-Peter Kriegel, Peer Kröger, Irina Gotlibovich:
Incremental OPTICS: Efficient Computation of Updates in a Hierarchical Cluster Ordering.
224-233
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- Zhixiang Chen, Ada Wai-Chee Fu, Jian Tang:
On Complementarity of Cluster and Outlier Detection Schemes.
234-243
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- Vladimir Estivill-Castro, Jianhua Yang:
Cluster Validity Using Support Vector Machines.
244-256
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- Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim:
FSSM: Fast Construction of the Optimized Segment Support Map.
257-266
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- Michael Dittenbach, Dieter Merkl, Helmut Berger:
Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited.
267-277
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- Yew Kwong Woon, Xiang Li, Wee Keong Ng, Wen-Feng Lu:
Parameterless Data Compression and Noise Filtering Using Association Rule Mining.
278-287
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- P. Mishra, Sharma Chakravarthy:
Performance Evaluation of SQL-OR Variants for Association Rule Mining.
288-298
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- Chen Zheng, Yanfen Zhao:
A Distance-Based Approach to Find Interesting Patterns.
299-308
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- Hans-Peter Kriegel, Stefan Schönauer:
Similarity Search in Structured Data.
309-319
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- Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James Geller:
Using an Interest Ontology for Improved Support in Rule Mining.
320-329
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- Bharat K. Bhargava, Yuhui Zhong, Yunhua Lu:
Fraud Formalization and Detection.
330-339
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- Choh-Man Teng:
Combining Noise Correction with Feature Selection.
340-349
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- Francesco Buccafurri, Gianluca Lax:
Pre-computing Approximate Hierarchical Range Queries in a Tree-Like Histogram.
350-359
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- Kimmo Hätönen, Jean-François Boulicaut, Mika Klemettinen, Markus Miettinen, Cyrille Masson:
Comprehensive Log Compression with Frequent Patterns.
360-370
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- Mohammad El-Hajj, Osmar R. Zaïane:
Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations.
371-380
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- Jianchao Han, Xiaohua Hu, Tsau Young Lin:
A New Computation Model for Rough Set Theory Based on Database Systems.
381-390
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- Antonio Badia:
Computing SQL Queries with Boolean Aggregates.
391-400
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- Antonio Badia, Dev Anand:
Fighting Redundancy in SQL.
401-411
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- Pedro Furtado:
"On-the-fly" VS Materialized Sampling and Heuristics.
412-421
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- Amund Tveit, Magnus Lie Hetland, Håavard Engum:
Incremental and Decremental Proximal Support Vector Classification using Decay Coefficients.
422-423
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Copyright © Sat May 16 23:05:47 2009
by Michael Ley (ley@uni-trier.de)
