Data Warehousing and Knowledge Discovery

Data Warehouse Architecture.- A Hilbert Space Compression Architecture for Data Warehouse Environments.- Evolution of Data Warehouses’ Optimization: A Workload Perspective.- What-If Analysis for Data Warehouse Evolution.- Data Warehouse Quality.- An Extensible Metadata Framework for Data Quality Assessment of Composite Structures.- Automating the Schema Matching Process for Heterogeneous Data Warehouses.- A Dynamic View Materialization Scheme for Sequences of Query and Update Statements.- Multidimensional Database.- Spatio-temporal Aggregations in Trajectory Data Warehouses.- Computing Join Aggregates over Private Tables.- An Annotation Management System for Multidimensional Databases.- Data Warehouse and OLAP.- On the Need of a Reference Algebra for OLAP.- OLAP Technology for Business Process Intelligence: Challenges and Solutions.- Built-In Indicators to Automatically Detect Interesting Cells in a Cube.- Emerging Cubes for Trends Analysis in Olap Databases.- Query Optimization.- Domination Mining and Querying.- Semantic Knowledge Integration to Support Inductive Query Optimization.- A Clustered Dwarf Structure to Speed Up Queries on Data Cubes.- Data Warehousing and Data Mining.- An OLAM-Based Framework for Complex Knowledge Pattern Discovery in Distributed-and-Heterogeneous-Data-Sources and Cooperative Information Systems.- Integrating Clustering Data Mining into the Multidimensional Modeling of Data Warehouses with UML Profiles.- A UML Profile for Representing Business Object States in a Data Warehouse.- Selection and Pruning Algorithms for Bitmap Index Selection Problem Using Data Mining.- Clustering.- MOSAIC: A Proximity Graph Approach for Agglomerative Clustering.- A Hybrid Particle Swarm Optimization Algorithm for Clustering Analysis.- Clustering Transactions with an Unbalanced Hierarchical Product Structure.- Constrained Graph b-Coloring Based Clustering Approach.- Association Rules.- An Efficient Algorithm for Identifying the Most Contributory Substring.- Mining High Utility Quantitative Association Rules.- Extraction of Association Rules Based on Literalsets.- Healthcare and Biomedical Applications.- Cost-Sensitive Decision Trees Applied to Medical Data.- Utilization of Global Ranking Information in Graph- Based Biomedical Literature Clustering.- Ontology-Based Information Extraction and Information Retrieval in Health Care Domain.- Classification.- Fuzzy Classifier Based Feature Reduction for Better Gene Selection.- Two Way Focused Classification.- A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms.- Learning of Semantic Sibling Group Hierarchies - K-Means vs. Bi-secting-K-Means.- Partitioning.- Mining Top-K Multidimensional Gradients.- A Novel Similarity-Based Modularity Function for Graph Partitioning.- Dual Dimensionality Reduction for Efficient Video Similarity Search.- Privacy and Crytography.- Privacy-Preserving Genetic Algorithms for Rule Discovery.- Fast Cryptographic Multi-party Protocols for Computing Boolean Scalar Products with Applications to Privacy-Preserving Association Rule Mining in Vertically Partitioned Data.- Privacy-Preserving Self-Organizing Map.- Miscellaneous Knowledge Discovery Techniques.- DWFIST: Leveraging Calendar-Based Pattern Mining in Data Streams.- Expectation Propagation in GenSpace Graphs for Summarization.- Mining First-Order Temporal Interval Patterns with Regular Expression Constraints.- Mining Trajectory Patterns Using Hidden Markov Models.