Data Warehousing and Knowledge Discovery

Data Warehouse I.- A Tree Comparison Approach to Detect Changes in Data Warehouse Structures.- Extending the UML for Designing Association Rule Mining Models for Data Warehouses.- Event-Feeded Dimension Solution.- XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses.- Data Warehouse II.- Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates.- Extending UML 2 Activity Diagrams with Business Intelligence Objects.- Automatic Selection of Bitmap Join Indexes in Data Warehouses.- Evaluating Data Warehouses and Tools.- A Survey of Open Source Tools for Business Intelligence.- DWEB: A Data Warehouse Engineering Benchmark.- A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses.- Design and Development of a Tool for Integrating Heterogeneous Data Warehouses.- Schema Transformations.- An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse.- Using Schema Transformation Pathways for Incremental View Maintenance.- Data Mapper: An Operator for Expressing One-to-Many Data Transformations.- Materialized Views.- Parallel Consistency Maintenance of Materialized Views Using Referential Integrity Constraints in Data Warehouses.- Selective View Materialization in a Spatial Data Warehouse.- PMC: Select Materialized Cells in Data Cubes.- Aggregates.- Progressive Ranking of Range Aggregates.- On Efficient Storing and Processing of Long Aggregate Lists.- Data Warehouse Queries and Database Processing Issues.- Ad Hoc Star Join Query Processing in Cluster Architectures.- A Precise Blocking Method for Record Linkage.- Flexible Query Answering in Data Cubes.- An Extendible Array Based Implementation of Relational Tables for Multi Dimensional Databases.- Data Mining Algorithms and Techniques.- Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data.- A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data.- Hybrid System of Case-Based Reasoning and Neural Network for Symbolic Features.- Data Mining.- Spatio-temporal Rule Mining: Issues and Techniques.- Hybrid Approach to Web Content Outlier Mining Without Query Vector.- Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views.- A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases.- Association Rules.- Discovering Richer Temporal Association Rules from Interval-Based Data.- Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques.- Maintenance of Generalized Association Rules Under Transaction Update and Taxonomy Evolution.- Prince: An Algorithm for Generating Rule Bases Without Closure Computations.- Text Processing and Classification.- Efficient Compression of Text Attributes of Data Warehouse Dimensions.- Effectiveness of Document Representation for Classification.- 2-PS Based Associative Text Classification.- Miscellaneous Applications.- Intrusion Detection via Analysis and Modelling of User Commands.- Dynamic Schema Navigation Using Formal Concept Analysis.- Security and Privacy Issues.- FMC: An Approach for Privacy Preserving OLAP.- Information Driven Evaluation of Data Hiding Algorithms.- Patterns.- Essential Patterns: A Perfect Cover of Frequent Patterns.- Processing Sequential Patterns in Relational Databases.- Optimizing a Sequence of Frequent Pattern Queries.- A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining.- Cluster and Classification I.- Hiding Classification Rules for Data Sharing with Privacy Preservation.- Clustering-Based Histograms for Multi-dimensional Data.- Weighted K-Means for Density-Biased Clustering.- Cluster and Classification II.- A New Approach for Cluster Detection for Large Datasets with High Dimensionality.- Gene Expression Biclustering Using Random Walk Strategies.- Spectral Kernels for Classification.- Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges.