Accepted Papers

8th International Conference on Data Warehousing and Knowledge Discovery - DaWaK '06

• [#6] An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
  Jia-Ling Koh, Shu-Ning Shin
  
  
• [#14] Adaptive Load Shedding for Mining Frequent Patterns from Data Streams
  Xuan Hong Dang, Wee Keong Ng, Kok Leong Ong
  
  
• [#20] Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
  Ahmed HajYasien, Vladimir Estivill-Castro
  
  
• [#23] Automatic Image Annotation by Mining the Web
  Zhiguo Gong , Qian Liu, Jingbai Zhang
  
  
• [#27] What Time is it in the Data Warehouse?
  Stefano Rizzi, Matteo Golfarelli
  
  
• [#29] Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
  Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski
  
  
• [#32] Priority-based k-anonymity accomplished by dynamic generalization structures
  Konrad Stark, Johann Eder, Kurt Zatloukal
  
  
• [#33] Bulk loading a Linear Hash File
  Davood Rafiei, Cheng Hu
  
  
• [#34] Preview: Optimizing View Materialization Cost in Spatial Data Warehouses
  Songmei Yu, Vijay Atluri, Nabil Adam
  
  
• [#40] Classification of Hidden Network Streams
  Matthew Gebski, Alex Penev, Raymond K. Wong,
  
  
• [#42] Warehousing dynamic XML documents
  Laura Irina Rusu, Wenny Rahayu, David Taniar
  
  
• [#46] ETLDiff: A Semi-Automatic Framework for Regression Test of ETL Software
  Christian Thomsen, Torben Bach Pedersen
  
  
• [#48] Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
  Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Jian Pei
  
  
• [#53] Cluster-based Sampling Approaches to Imbalanced Data Distributions
  Show-Jane Yen, Yue-Shi Lee,
  
  
• [#54] Optimized Rule Mining Through a Unified Framework for Interestingness Measures
  Céline Hébert, Bruno Crémilleux
  
  
• [#58] Multidimensional Design by Examples
  Oscar Romero, Alberto Abell?
  
  
• [#66] Integrating different grain levels in a medical data warehouse federation
  Marko Banek, A Min Tjoa, Nevena Stolba
  
  
• [#77] On the Computation of Maximal-Correlated Cuboids Cells
  Ronnie Alves, Orlando Belo
  
  
• [#80] Calculation of Density-Based Clustering Parameters Supported with Distributed Processing
  Marcin Gorawski, Rafal Malczok
  
  
• [#86] EStream: Online Mining of Frequent Sets with Precise Error Guarantee
  Xuan Hong Dang, Wee-Keong Ng, Kok-Leong Ong
  
  
• [#88] Efficient Mining of Large Maximal Bicliques
  Guimei Liu, Kelvin S.H. Sim, Jinyan Li,
  
  
• [#90] Learning Classifiers from Distributed, Ontology-Extended Data Sources
  Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant Honavar
  
  
• [#100] An Information-Theoretic Framework for Process Structure and Data Mining
  Antonio D. Chiaravalloti, Gianluigi Greco, Antonella Guzzo, Luigi Pontieri
  
  
• [#101] Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data
  Ali Inan, Yucel Saygin
  
  
• [#103] AISS: An Index for Non-TimeStamped Set Subsequence Queries
  Witold Andrzejewski, Tadeusz Morzy
  
  
• [#106] EGEA : A new hybrid approach towards extracting reduced generic association rule set (Application to AML blood cancer therapy)
  M. A. Esseghir, G. Gasmi, S. Ben Yahia, E. Mephu Nguifo
  
  
• [#107] Large Data Warehouses in Grids with high QoS
  Rogério Lu?s de Carvalho Costa, Pedro Furtado
  
  
• [#112] A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
  Pawel Boinski, Marek Wojciechowski, Maciej Zakrzewicz
  
  
• [#113] Efficient Mining of Dissociation Rules
  Mikolaj Morzy,
  
  
• [#116] Document Representations for Classification of Short Web-Page Descriptions
  Milo? Radovanović, Mirjana Ivanović
  
  
• [#118] Preprocessing for Fast Refreshing Materialized Views in DB2
  Wugang Xu, Calisto Zuzarte, Dimitri Theodoratos, Wenbin Ma,
  
  
• [#121] Garc: a new associative classification approach
  Ines Bouzouita, Samir Elloumi, Sadok Ben Yahia
  
  
• [#124] Towards Multidimensional Requirement Design
  Estella Annoni, Franck Ravat, Olivier Teste, Gilles Zurfluh
  
  
• [#125] Mixed Decision Trees: An Evolutionary Approach
  Marek Kretowski, Marek Grzes
  
  
• [#130] Providing Persistence for Sensor Data Streams by Remote WAL
  Hideyuki Kawashima, Michita Imai, Yuichiro Anzai,
  
  
• [#132] Support Vector Machine Approach for Fast Classification
  Keivan Kianmehr, Reda Alhajj
  
  
• [#134] A Hierachy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes
  Alfredo Cuzzocrea, Domenico Saccà, Paolo Serafino,
  
  
• [#135] Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
  Svetlana Mansmann, Marc H. Scholl,
  
  
• [#139] Conceptual Modeling for Classification Mining In Data Warehouses
  Jose Zubcoff, Juan Trujillo,
  
  
• [#142] ITER: an Algorithm for Predictive Regression Rule Extraction
  Johan Huysmans, Bart Baesens, Jan Vanthienen
  
  
• [#153] COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
  Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Cheng-Tao Ho
  
  
• [#154] Computing Iceberg Quotient Cubes with Bounding
  Xiuzhen Zhang, Pauline Chou, Kotagiri Ramamohanarao,
  
  
• [#157] Analysing multi-dimensional data across autonomous Data Warehouses
  Berger Stefan, Schrefl Michael
  
  
• [#158] A Coherent Biomedical Litrature Clustring and Summarization Approach through Ontology-enriched Graphical Representation
  Illhoi Yoo, Xiaohua Hu, Il-Yeol Song,
  
  
• [#159] A multiversion-based multidimensional model
  Franck Ravat, Olivier Teste, Gilles Zurfluh
  
  
• [#163] Applying Transformations to Model Driven Data Warehouses
  Jose-Norberto Maz?n, Jes?s Pardillo, Juan Trujillo
  
  
• [#166] Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP
  Marko Brunzel, Myra Spiliopoulou
  
  
• [#172] Creating a Lexical Ontology of Abbreviations in the Biomedical literature
  Min Song, Il-Yeol Song, KiJung Lee, Michael Bieber
  
  
• [#175] An Effective Algorithm to Extract Dense Sub-Cubes from a Large Sparse Cube
  Seok-Lyong Lee,
  
  
• [#178] A Model of Asynchronous Evolution Management of Ontology-Based Data Warehouses
  Dung Nguyen Xuan, Ladjel Bellatreche , Guy Pierra
  
  
• [#184] A method for feature selection on microarray data using suport vector machine
  Xiaobin Huang, Jian Tang
  
  
• [#186] Difference Detection between Two Contrastsets
  Shichao Zhang, Yongsong Qin, Chengqi Zhang
  
  
• [#197] Dynamic View Selection for OLAP
  Michael Lawrence, Andrew Rau-Chaplin
  
  
• [#198] Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams
  Weiheng Zhu, Jian Pei, Jian Yin, Yihuang Xie