Performance -- Bounding Box Representation of Co-Location Instances for L-infinity Induced Distance Measure -- Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench -- Towards an Adaptive Multidimensional Partitioning for Accelerating Spark SQL -- Selecting Subexpressions to Materialize for Dynamic Large-scale Workloads -- Prediction Techniques -- A Chain Composite Item Recommender for Lifelong Pathways -- Health Analytics on COVID-19 Data with Few-Shot Learning -- Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory -- Knowledge Representation -- Universal Storage Adaption for Distributed RDF-triple Stores -- RDF Data Management is an Analytical Market, not a Transaction one -- Document Ranking for Curated Document Databases using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank -- Advanced Analytics -- Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models -- Spark based Text Clustering Method using Hashing -- Impact of textual data augmentation on linguistic pattern extraction to improve the idiomaticity of extractive summaries -- Explainability in Irony Detection -- Efficient Graph Analytics in Python for Large-scale Data Science -- Machine Learning and Deep Learning -- A New Accurate Clustering Approach for Detecting Different Densities in High Dimensional Data -- ODCA: an Outlier Detection Approach to Deal with Correlated Attributes -- A Novel Neurofuzzy Approach for Semantic Similarity Measurement -- Data Warehouse Processes and Maintenance -- Integrated Process Data and Organizational Data Analysis for Business Process Improvement -- Smart-Views: Decentralized OLAP View Management using Blockchains -- A workload-aware change data capture framework for data warehousing -- Machine Learning and Analtyics -- Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification -- Filter-based Feature Selection Methods for Industrial Sensor Data: A Review -- A Declarative Framework for mining Top-k High Utility Itemsets -- Multi-label Feature Selection Algorithm via Maximizing Label Correlation-aware Relevance and Minimizing Redundance with Mutation Binary Particle Swarm Optimization -- Mining Partially-Ordered Episode Rules with the Head Support -- Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies.