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 BibTeX

ETL Processing

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

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

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

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

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

Laura Irina Rusu, J. Wenny Rahayu, David Taniar:
Warehousing Dynamic XML Documents. 175-184
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Marko Banek, A. Min Tjoa, Nevena Stolba:
Integrating Different Grain Levels in a Medical Data Warehouse Federation. 185-194
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Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra:
A Versioning Management Model for Ontology-Based Data Warehouses. 195-206
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Rogério Luís de Carvalho Costa, Pedro Furtado:
Data Warehouses in Grids with High QoS. 207-217
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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
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Mikolaj Morzy:
Efficient Mining of Dissociation Rules. 228-237
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Céline Hébert, Bruno Crémilleux:
Optimized Rule Mining Through a Unified Framework for Interestingness Measures. 238-247
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Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri:
An Information-Theoretic Framework for Process Structure and Data Mining. 248-259
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Mining Techniques (2)

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

Pawel Boinski, Marek Wojciechowski, Maciej Zakrzewicz:
A Greedy Approach to Concurrent Processing of Frequent Itemset Queries. 292-301
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Ahmed HajYasien, Vladimir Estivill-Castro:
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation. 302-311
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Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong:
EStream: Online Mining of Frequent Sets with Precise Error Guarantee. 312-321
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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
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Matthew Gebski, Alex Penev, Raymond K. Wong:
Classification of Hidden Network Streams. 332-341
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Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong:
Adaptive Load Shedding for Mining Frequent Patterns from Data Streams. 342-351
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Jia-Ling Koh, Shu-Ning Shin:
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams. 352-362
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Ontology-Based Mining

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

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

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

Marko Brunzel, Myra Spiliopoulou:
Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP. 469-480
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Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Difference Detection Between Two Contrast Sets. 481-490
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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
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Miscellaneous Applications

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

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