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.