DEXA 2005 Poland Pictures

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