内容

目次

ETL Processing.- ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software.- Applying Transformations to Model Driven Data Warehouses.- Bulk Loading a Linear Hash File.- Materialized View.- Dynamic View Selection for OLAP.- Preview: Optimizing View Materialization Cost in Spatial Data Warehouses.- Preprocessing for Fast Refreshing Materialized Views in DB2.- Multidimensional Design.- A Multiversion-Based Multidimensional Model.- Towards Multidimensional Requirement Design.- Multidimensional Design by Examples.- OLAP and Multidimensional Model.- Extending Visual OLAP for Handling Irregular Dimensional Hierarchies.- A Hierarchy-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?.- 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.- 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.- Data Warehouses in Grids with High QoS.- 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.- 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.- 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.- 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.- Ontology-Based Mining.- Learning Classifiers from Distributed, Ontology-Extended Data Sources.- A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations.- Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature.- Clustering.- Priority-Based k-Anonymity Accomplished by Weighted Generalisation 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.- 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.- Association Rules.- Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP.- Difference Detection Between Two Contrast Sets.- EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy).- Miscellaneous Applications.- AISS: An Index for Non-timestamped Set Subsequence Queries.- A Method for Feature Selection on Microarray Data Using Support Vector Machine.- Providing Persistence for Sensor Data Streams by Remote WAL.- 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.