Conceptual Design and Modeling -- UML-Based Modeling for What-If Analysis -- Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses -- An MDA Approach for the Development of Spatial Data Warehouses -- OLAP and Cube Processing -- Built-In Indicators to Discover Interesting Drill Paths in a Cube -- Upper Borders for Emerging Cubes -- Top_Keyword: An Aggregation Function for Textual Document OLAP -- Distributed Data Warehouse -- Summarizing Distributed Data Streams for Storage in Data Warehouses -- Efficient Data Distribution for DWS -- Data Partitioning in Data Warehouses: Hardness Study, Heuristics and ORACLE Validation -- Data Privacy in Data Warehouse -- A Robust Sampling-Based Framework for Privacy Preserving OLAP -- Generalization-Based Privacy-Preserving Data Collection -- Processing Aggregate Queries on Spatial OLAP Data -- Data Warehouse and Data Mining -- Efficient Incremental Maintenance of Derived Relations and BLAST Computations in Bioinformatics Data Warehouses -- Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization -- Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies -- Clustering I -- Efficient K-Means Clustering Using Accelerated Graphics Processors -- Extracting Knowledge from Life Courses: Clustering and Visualization -- A Hybrid Clustering Algorithm Based on Multi-swarm Constriction PSO and GRASP -- Clustering II -- Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering -- Clustered Dynamic Conditional Correlation Multivariate GARCH Model -- Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature -- Mining Data Streams -- Mining Serial Episode Rules with Time Lags over Multiple Data Streams -- Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams -- Continuous Trend-Based Clustering in Data Streams -- Mining Multidimensional Sequential Patterns over Data Streams -- Classification -- Towards a Model Independent Method for Explaining Classification for Individual Instances -- Selective Pre-processing of Imbalanced Data for Improving Classification Performance -- A Parameter-Free Associative Classification Method -- Text Mining and Taxonomy I -- The Evaluation of Sentence Similarity Measures -- Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets -- Towards the Automatic Construction of Conceptual Taxonomies -- Text Mining and Taxonomy II -- Adapting LDA Model to Discover Author-Topic Relations for Email Analysis -- A New Semantic Representation for Short Texts -- Document-Base Extraction for Single-Label Text Classification -- Machine Learning Techniques -- How an Ensemble Method Can Compute a Comprehensible Model -- Empirical Analysis of Reliability Estimates for Individual Regression Predictions -- User Defined Partitioning - Group Data Based on Computation Model -- Data Mining Applications -- Workload-Aware Histograms for Remote Applications -- Is a Voting Approach Accurate for Opinion Mining? -- Mining Sequential Patterns with Negative Conclusions.