6. DaWaK 2004: Zaragoza, Spain
Yahiko Kambayashi, Mukesh K. Mohania, Wolfram Wöß (Eds.): Data Warehousing and Knowledge Discovery, 6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings. Springer 2004 Lecture Notes in Computer Science ISBN 3-540-22937-X
Data Warehousing Design
- Vicky Nassis, Rajagopal Rajugan, Tharam S. Dillon, J. Wenny Rahayu: Conceptual Design of XML Document Warehouses. 1-14
- Ladjel Bellatreche, Michel Schneider, Hervé Lorinquer, Mukesh K. Mohania: Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses. 15-25
- Robson do Nascimento Fidalgo, Valéria Cesário Times, Joel da Silva, Fernando da Fonseca de Souza: GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas. 26-37
- Pedro Furtado: Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses. 38-47
Knowledge Discovery Framework and XML Data Mining
- Ahmed Sultan Al-Hegami, Vasudha Bhatnagar, Naveen Kumar: Novelty Framework for Knowledge Discovery in Databases. 48-57
- Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia: Mining Maximal Frequently Changing Subtree Patterns from XML Documents. 68-76
- Qiankun Zhao, Sourav S. Bhowmick, Sanjay Kumar Madria: Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents. 77-86
Data Cubes and Queries
- Alfredo Cuzzocrea, Wei Wang, Ugo Matrangolo: Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees. 97-108
- Pauline Lienhua Chou, Xiuzhen Zhang: Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding. 108-117
Multidimensional Schema and Data Aggregation
- Karin Becker, Duncan Dubugras A. Ruiz: An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses. 118-128
- Mikael R. Jensen, Thomas Holmgren, Torben Bach Pedersen: Discovering Multidimensional Structure in Relational Data. 138-148
Inductive Databases and Temporal Rules
- Taneli Mielikäinen: Inductive Databases as Ranking. 149-158
- Saso Dzeroski, Ljupco Todorovski, Peter Ljubic: Inductive Databases of Polynomial Equations. 159-168
Industrial Track
- Torben Bach Pedersen: How Is BI Used in Industry?: Report from a Knowledge Exchange Network. 179-188
- Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali Krishnaswamy: Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments. 189-198
Data Clustering
- Hongxing He, Graham J. Williams, Jie Chen, Simon Hawkins, Chris Kelman: Exploring Possible Adverse Drug Reactions by Clustering Event Sequences. 199-208
- Kok-Leong Ong, Wenyuan Li, Wee Keong Ng, Ee-Peng Lim: SCLOPE: An Algorithm for Clustering Data Streams of Categorical Attributes. 209-218
- Jun Du, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker: Novel Clustering That Employs Genetic Algorithm with New Representation Scheme and Multiple Objectives. 219-228
Data Visualization and Exploration
- Chia-Hui Chang, Zhi-Kai Ding: Categorical Data Visualization and Clustering Using Subjective Factors. 229-238
- Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Multidimensional Data Visual Exploration by Interactive Information Segments. 239-248
- Aurisan Souza de Santana, Ana Maria de Carvalho Moura: Metadata to Support Transformations and Data & Metadata Lineage in a Warehousing Environment. 249-258
Data Classification, Extraction and Interpretation
- Zhao Li, Wee Keong Ng, Kok-Leong Ong: OWDEAH: Online Web Data Extraction Based on Access History. 269-278
- Jesús S. Aguilar-Ruiz, Francisco Azuaje, José Cristóbal Riquelme Santos: Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation. 279-288
Data Semantics
- Henner Graubitz, Myra Spiliopoulou: Deriving Multiple Topics to Label Small Document Regions. 289-298
- A. Soydan Bilgin, Rada Chirkova, Timo J. Salo, Munindar P. Singh: Deriving Efficient SQL Sequences via Read-Aheads. 299-308
- Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham: Diversity in Random Subspacing Ensembles. 309-319
Association Rule Mining
- Himavalli Kona, Sharma Chakravarthy: Partitioned Approach to Association Rule Mining over Multiple Databases. 320-330
- Shakil Ahmed, Frans Coenen, Paul H. Leng: A Tree Partitioning Method for Memory Management in Association Rule Mining. 331-340
- María N. Moreno García, Francisco José García Peñalvo, María José Polo Martín: Mining Interesting Association Rules for Prediction in the Software Project Management Area. 341-350
Mining Event Sequences
- Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin: PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences. 351-360
- Zhung-Xun Liao, Man-Kwan Shan: Algorithms for Discovery of Frequent Superset, Rather than Frequent Subset. 361-370
- Adriana Prado, Cristiane Targa, Alexandre Plastino: Improving Direct Counting for Frequent Itemset Mining. 371-380
Pattern Mining
- Alain Casali: Mining Borders of the Difference of Two Datacubes. 391-400
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last updated on 2013-06-19T203413 by the dblp team