10. DaWaK 2008: Turin, Italy

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
  
• Maria 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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