8. DaWaK 2006: Krakow, Poland

ETL Processing

• Christian Thomsen, Torben Bach Pedersen:
  ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software. 1-12
  
• Jose-Norberto Mazón, Jesús Pardillo, Juan Trujillo:
  Applying Transformations to Model Driven Data Warehouses. 13-22
  
• Davood Rafiei, Cheng Hu:
  Bulk Loading a Linear Hash File. 23-32
  

Materialized View

• Michael Lawrence, Andrew Rau-Chaplin:
  Dynamic View Selection for OLAP. 33-44
  
• Songmei Yu, Vijayalakshmi Atluri, Nabil R. Adam:
  Preview: Optimizing View Materialization Cost in Spatial Data Warehouses. 45-54
  
• Wugang Xu, Calisto Zuzarte, Dimitri Theodoratos, Wenbin Ma:
  Preprocessing for Fast Refreshing Materialized Views in DB2. 55-64
  

Multidimensional Design

• Franck Ravat, Olivier Teste, Gilles Zurfluh:
  A Multiversion-Based Multidimensional Model. 65-74
  
• Estella Annoni, Franck Ravat, Olivier Teste, Gilles Zurfluh:
  Towards Multidimensional Requirement Design. 75-84
  
• Oscar Romero, Alberto Abelló:
  Multidimensional Design by Examples. 85-94
  

OLAP and Multidimensional Model

• Svetlana Mansmann, Marc H. Scholl:
  Extending Visual OLAP for Handling Irregular Dimensional Hierarchies. 95-105
  
• Alfredo Cuzzocrea, Domenico Saccà, Paolo Serafino:
  A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes. 106-119
  
• Stefan Berger, Michael Schrefl:
  Analysing Multi-dimensional Data Across Autonomous Data Warehouses. 120-133
  
• Stefano Rizzi, Matteo Golfarelli:
  What Time Is It in the Data Warehouse? 134-144
  

Cubes Processing

• Xiuzhen Zhang, Pauline Lienhua Chou, Kotagiri Ramamohanarao:
  Computing Iceberg Quotient Cubes with Bounding. 145-154
  
• Seok-Lyong Lee:
  An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube. 155-164
  
• Ronnie Alves, Orlando Belo:
  On the Computation of Maximal-Correlated Cuboids Cells. 165-174
  

Data Warehouse Applications

• Laura Irina Rusu, J. Wenny Rahayu, David Taniar:
  Warehousing Dynamic XML Documents. 175-184
  
• Marko Banek, A. Min Tjoa, Nevena Stolba:
  Integrating Different Grain Levels in a Medical Data Warehouse Federation. 185-194
  
• Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra:
  A Versioning Management Model for Ontology-Based Data Warehouses. 195-206
  
• Rogério Luís de Carvalho Costa, Pedro Furtado:
  Data Warehouses in Grids with High QoS. 207-217
  

Mining Techniques (1)

• Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski:
  Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods. 218-227
  
• Mikolaj Morzy:
  Efficient Mining of Dissociation Rules. 228-237
  
• Céline Hébert, Bruno Crémilleux:
  Optimized Rule Mining Through a Unified Framework for Interestingness Measures. 238-247
  
• Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
  An Information-Theoretic Framework for Process Structure and Data Mining. 248-259
  

Mining Techniques (2)

• Marek Kretowski, Marek Grzes:
  Mixed Decision Trees: An Evolutionary Approach. 260-269
  
• Johan Huysmans, Bart Baesens, Jan Vanthienen:
  ITER: An Algorithm for Predictive Regression Rule Extraction. 270-279
  
• Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Cheng-Tao Ho:
  COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach. 280-291
  

Frequent Itemsets

• Pawel Boinski, Marek Wojciechowski, Maciej Zakrzewicz:
  A Greedy Approach to Concurrent Processing of Frequent Itemset Queries. 292-301
  
• Ahmed HajYasien, Vladimir Estivill-Castro:
  Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation. 302-311
  
• Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong:
  EStream: Online Mining of Frequent Sets with Precise Error Guarantee. 312-321
  

Mining Data Streams

• Weiheng Zhu, Jian Pei, Jian Yin, Yihuang Xie:
  Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams. 322-331
  
• Matthew Gebski, Alex Penev, Raymond K. Wong:
  Classification of Hidden Network Streams. 332-341
  
• Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong:
  Adaptive Load Shedding for Mining Frequent Patterns from Data Streams. 342-351
  
• Jia-Ling Koh, Shu-Ning Shin:
  An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams. 352-362
  

Ontology-Based Mining

• Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant Honavar:
  Learning Classifiers from Distributed, Ontology-Extended Data Sources. 363-373
  
• Illhoi Yoo, Xiaohua Hu, Il-Yeol Song:
  A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations. 374-383
  
• Min Song, Il-Yeol Song, Ki Jung Lee:
  Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature. 384-393
  

Clustering

• Konrad Stark, Johann Eder, Kurt Zatloukal:
  Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures. 394-404
  
• Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei:
  Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures. 405-416
  
• Marcin Gorawski, Rafal Malczok:
  Calculation of Density-Based Clustering Parameters Supported with Distributed Processing. 417-426
  
• Show-Jane Yen, Yue-Shi Lee:
  Cluster-Based Sampling Approaches to Imbalanced Data Distributions. 427-436
  

Advanced Mining Techniques

• Guimei Liu, Kelvin Sim, Jinyan Li:
  Efficient Mining of Large Maximal Bicliques. 437-448
  
• Zhiguo Gong, Qian Liu, Jingbai Zhang:
  Automatic Image Annotation by Mining the Web. 449-458
  
• Ali Inan, Yücel Saygin:
  Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data. 459-468
  

Association Rules

• Marko Brunzel, Myra Spiliopoulou:
  Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP. 469-480
  
• Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
  Difference Detection Between Two Contrast Sets. 481-490
  
• Mohamed Amir Esseghir, Ghada Gasmi, Sadok Ben Yahia, Yahya Slimani:
  EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy). 491-502
  

Miscellaneous Applications

• Witold Andrzejewski, Tadeusz Morzy:
  AISS: An Index for Non-timestamped Set Subsequence Queries. 503-512
  
• Xiao Bing Huang, Jian Tang:
  A Method for Feature Selection on Microarray Data Using Support Vector Machine. 513-523
  
• Hideyuki Kawashima, Michita Imai, Yuichiro Anzai:
  Providing Persistence for Sensor Data Streams by Remote WAL. 524-533
  

Classification

• Keivan Kianmehr, Reda Alhajj:
  Support Vector Machine Approach for Fast Classification. 534-543
  
• Milos Radovanovic, Mirjana Ivanovic:
  Document Representations for Classification of Short Web-Page Descriptions. 544-553
  
• Ines Bouzouita, Samir Elloumi, Sadok Ben Yahia:
  GARC: A New Associative Classification Approach. 554-565
  
• José Jacobo Zubcoff, Juan Trujillo:
  Conceptual Modeling for Classification Mining in Data Warehouses. 566-575