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PROGRAM |
DaWaK ProgramMonday, 4 September 20069.00 – 9.30 Opening Session 1 ETL Processing Welcome by the Programme Committee Chairs ETLDiff: A Semi-Automatic Framework for Regression Test of ETL Software Applying Transformations to Model Driven Data Warehouses Bulk loading a Linear Hash File 11.00 – 11.30 Coffee Break Invited Talk DEXA Conference 12.30 – 14.00 Lunch Session 2 Materialized View Dynamic View Selection for OLAP Preview: Optimizing View Materialization Cost in Spatial Data Warehouses Preprocessing for Fast Refreshing Materialized Views in DB2 15.30 – 16.00 Coffee Break Session 3 Multidimensional Design A multiversion-based multidimensional model Towards Multidimensional Requirement Design Multidimensional Design by Examples Tuesday, 5 September 2006Session 4 OLAP & Multidimensional Model Extending Visual OLAP for Handling Irregular Dimensional Hierarchies A Hierachy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes Analysing multi-dimensional data across autonomous Data Warehouses What Time is it in the Data Warehouse? 11.00 - 11.30 Coffee Break Keynote EC-Web Conference Session 5 Cubes Processing Computing Iceberg Quotient Cubes with Bounding An Effective Algorithm to Extract Dense Sub-Cubes from a Large Sparse Cube On the Computation of Maximal-Correlated Cuboids Cells 15.30 - 16.00 Coffee Break Session 6 Data Warehouse Applications Warehousing dynamic XML documents Integrating Different Grain Levels in a Medical Data Warehouse Federation A Versioning Management Model for Ontology-Based Data Warehouses Large Data Warehouses in Grids with high QoS Wednesday, 6 September 2006Session 7 Mining Techniques (1) Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods Efficient Mining of Dissociation Rules Optimized Rule Mining Through a Unified Framework for Interestingness Measures An Information-Theoretic Framework for Process Structure and Data Mining 11.00 - 11.30 Coffee Break Keynote TrustBus Conference Session 8 Mining Techniques (2) Mixed Decision Trees: An Evolutionary Approach ITER: an Algorithm for Predictive Regression Rule Extraction COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach 15.30 – 16.00 Coffee Break Session 9 Frequent Itemsets A Greedy Approach to Concurrent Processing of Frequent Itemset Queries Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation EStream: Online Mining of Frequent Sets with Precise Error Guarantee Thursday, 7 September 2006Session 10 Mining Data Streams Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams Classification of Hidden Network Streams Adaptive Load Shedding for Mining Frequent Patterns from Data Streams An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams 11.00 - 11.30 Coffee Break Keynote DaWaK Conference xStreaming your BI process 12.30 – 14.00 Lunch Session 11 Ontology-based Mining Learning Classifiers from Distributed, Ontology-Extended Data Sources A Coherent Biomedical Litrature Clustring and Summarization Approach through Ontology-enriched Graphical Representation Creating a Lexical Ontology of Abbreviations in the Biomedical literature 15.30 – 16.00 Coffee Break Session 12 Clustering Priority-based k-anonymity accomplished by dynamic generalization structures Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures Calculation of Density-Based Clustering Parameters Supported with Distributed Processing Cluster-based Sampling Approaches to Imbalanced Data Distributions Friday, 8 September 2006Session 13 Advanced Mining Techniques Efficient Mining of Large Maximal Bicliques Automatic Image Annotation by Mining the Web Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data 10.30 - 11.00 Coffee Break Session 14 Association Rules Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP Difference Detection between Two Contrastsets EGEA : A new hybrid approach towards extracting reduced generic association rule set (Application to AML blood cancer therapy) 12.30 – 14.00 Lunch Session 15 Miscellaneous Applications AISS: An Index for Non-TimeStamped Set Subsequence Queries A method for feature selection on microarray data using suport vector machine Providing Persistence for Sensor Data Streams by Remote WAL 15.30 – 16.00 Coffee Break Session 16 Classification Support Vector Machine Approach for Fast Classification Document Representations for Classification of Short Web-Page Descriptions Garc: a new associative classification approach Conceptual Modeling for Classification Mining In Data Warehouses |
ANNOUNCEMENTSKeynote TalksOscar Pastor, Universidad Politécnica de Valencia, Spain RegistrationTo avoid Monday morning queues the registration desk will be open on Sunday 15.00-17.00  |
