8. DaWaK 2006: Krakow, Poland

A. Min Tjoa, Juan Trujillo (Eds.): Data Warehousing and Knowledge Discovery, 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings. Lecture Notes in Computer Science 4081 Springer 2006, ISBN 3-540-37736-0

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

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