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ORCID10th DaWaK 2008: Turin, Italy
- Il-Yeol Song, Johann Eder, Tho Manh Nguyen:
Data Warehousing and Knowledge Discovery, 10th International Conference, DaWaK 2008, Turin, Italy, September 2-5, 2008, Proceedings. Lecture Notes in Computer Science 5182, Springer 2008, ISBN 978-3-540-85835-5
Conceptual Design and Modeling
- Matteo Golfarelli, Stefano Rizzi
:
UML-Based Modeling for What-If Analysis. 1-12 - Jesús Pardillo, Jose-Norberto Mazón, Juan Trujillo:
Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses. 13-22 - Octavio Glorio, Juan Trujillo:
An MDA Approach for the Development of Spatial Data Warehouses. 23-32
OLAP and Cube Processing
- Véronique Cariou, Jérôme Cubillé, Christian Derquenne, Sabine Goutier, Françoise Guisnel, Henri Klajnmic:
Built-In Indicators to Discover Interesting Drill Paths in a Cube. 33-44 - Sébastien Nedjar, Alain Casali, Rosine Cicchetti, Lotfi Lakhal:
Upper Borders for Emerging Cubes. 45-54 - Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh:
Top_Keyword: An Aggregation Function for Textual Document OLAP. 55-64
Distributed Data Warehouse
- Raja Chiky, Georges Hébrail:
Summarizing Distributed Data Streams for Storage in Data Warehouses. 65-74 - Raquel Almeida, Jorge Vieira, Marco Vieira, Henrique Madeira, Jorge Bernardino:
Efficient Data Distribution for DWS. 75-86 - Ladjel Bellatreche, Kamel Boukhalfa, Pascal Richard:
Data Partitioning in Data Warehouses: Hardness Study, Heuristics and ORACLE Validation. 87-96
Data Privacy in Data Warehouse
- Alfredo Cuzzocrea, Vincenzo Russo, Domenico Saccà:
A Robust Sampling-Based Framework for Privacy Preserving OLAP. 97-114 - Lijie Zhang, Weining Zhang:
Generalization-Based Privacy-Preserving Data Collection. 115-124 - Kenneth Choi, Wo-Shun Luk:
Processing Aggregate Queries on Spatial OLAP Data. 125-134
Data Warehouse and Data Mining
- Gabriela Turcu, Svetlozar Nestorov, Ian T. Foster:
Efficient Incremental Maintenance of Derived Relations and BLAST Computations in Bioinformatics Data Warehouses. 135-145 - Mikolaj Morzy, Marcin Krystek:
Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization. 146-155 - Marc Plantevit, Anne Laurent, Maguelonne Teisseire:
Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies. 156-165
Clustering I
- S. A. Arul Shalom, Manoranjan Dash, Minh Tue:
Efficient K-Means Clustering Using Accelerated Graphics Processors. 166-175 - Nicolas S. Müller, Alexis Gabadinho, Gilbert Ritschard, Matthias Studer:
Extracting Knowledge from Life Courses: Clustering and Visualization. 176-185 - Yannis Marinakis, Magdalene Marinaki, Nikolaos F. Matsatsinis:
A Hybrid Clustering Algorithm Based on Multi-swarm Constriction PSO and GRASP. 186-195
Clustering II
- Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin D. Burke:
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering. 196-205 - Tu Zhou, Laiwan Chan:
Clustered Dynamic Conditional Correlation Multivariate GARCH Model. 206-216 - Min Song, Xiaohua Hu, Illhoi Yoo, Eric Koppel:
Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature. 217-226
Mining Data Streams
- Tung-Ying Lee, En Tzu Wang, Arbee L. P. Chen:
Mining Serial Episode Rules with Time Lags over Multiple Data Streams. 227-240 - Willie Ng, Manoranjan Dash:
Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams. 241-250 - Maria Kontaki, Apostolos N. Papadopoulos, Yannis Manolopoulos:
Continuous Trend-Based Clustering in Data Streams. 251-262 - Chedy Raïssi, Marc Plantevit:
Mining Multidimensional Sequential Patterns over Data Streams. 263-272
Classification
- Erik Strumbelj, Igor Kononenko:
Towards a Model Independent Method for Explaining Classification for Individual Instances. 273-282 - Jerzy Stefanowski, Szymon Wilk:
Selective Pre-processing of Imbalanced Data for Improving Classification Performance. 283-292 - Loïc Cerf, Dominique Gay, Nazha Selmaoui, Jean-François Boulicaut:
A Parameter-Free Associative Classification Method. 293-304
Text Mining and Taxonomy I
- Palakorn Achananuparp, Xiaohua Hu, Xiajiong Shen:
The Evaluation of Sentence Similarity Measures. 305-316 - Tao Li, Sarabjot S. Anand:
Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets. 317-326 - Dino Ienco, Rosa Meo:
Towards the Automatic Construction of Conceptual Taxonomies. 327-336
Text Mining and Taxonomy II
- Liqiang Geng, Hao Wang, Xin Wang, Larry Korba:
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis. 337-346 - María J. Martín-Bautista, Sandro Martínez-Folgoso, María Amparo Vila Miranda:
A New Semantic Representation for Short Texts. 347-356 - Yanbo J. Wang, Robert Sanderson, Frans Coenen, Paul H. Leng:
Document-Base Extraction for Single-Label Text Classification. 357-367
Machine Learning Techniques
- José Luis Triviño-Rodriguez, Amparo Ruiz-Sepúlveda, Rafael Morales Bueno:
How an Ensemble Method Can Compute a Comprehensible Model. 368-378 - Zoran Bosnic, Igor Kononenko:
Empirical Analysis of Reliability Estimates for Individual Regression Predictions. 379-388 - Qiming Chen, Meichun Hsu:
User Defined Partitioning - Group Data Based on Computation Model. 389-401
Data Mining Applications
- Tanu Malik, Randal C. Burns:
Workload-Aware Histograms for Remote Applications. 402-412 - Michel Plantié, Mathieu Roche, Gérard Dray, Pascal Poncelet:
Is a Voting Approach Accurate for Opinion Mining?. 413-422 - Przemyslaw Kazienko:
Mining Sequential Patterns with Negative Conclusions. 423-432
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