TALK KEYWORD INDEX
      This page contains an index consisting of author-provided keywords.
| A | |
| Adversarial Autoencoder | |
| AI | |
| analytic platform | |
| anomaly detection | |
| Approximate clustering | |
| Array Database Systems | |
| array databases | |
| Automatic Differentiation | |
| automatic selection | |
| B | |
| Batch Processing | |
| Best Paper | |
| Best Paper Award | |
| Best Student Paper | |
| Biclustering | |
| bitmap index | |
| bounding polygon | |
| C | |
| caching | |
| Cloud | |
| Cloud Databases | |
| Column-oriented | |
| containerization | |
| Coverage | |
| D | |
| data documentation | |
| Data Management | |
| data mining | |
| Data Quality | |
| data transformation algebra | |
| data-driven science | |
| database model | |
| Databases | |
| DB | |
| Dead-space | |
| Deep Learning | |
| Denmark | |
| depth-first traversal | |
| DFS | |
| Distributed Algorithms | |
| distributed processing | |
| F | |
| Florida | |
| FPGA acceleration | |
| Frequent itemsets mining | |
| Fully decentralized protocol | |
| G | |
| Gaussian Processes | |
| GIS | |
| GPU Acceleration | |
| Graph databases | |
| Graph Gene Algorithm | |
| graph morphology representation | |
| Graph Neural Networks | |
| graph ordering | |
| graphical morphology | |
| Graphlet enumeration | |
| H | |
| Hybrid type discovery | |
| I | |
| In-Database Machine Learning | |
| Incrementality | |
| Indexing | |
| K | |
| Knowledge Graphs | |
| L | |
| Landmark-embedding | |
| Learned Distribution Index | |
| LiDAR | |
| Linear Algebra | |
| LMU Munich | |
| Local differential privacy | |
| Locality sensitive hashing | |
| M | |
| machine learning | |
| Machine Learning and Databases | |
| Main-Memory Database Systems | |
| Malware Detection | |
| MapReduce Framework | |
| Mining of Graph Datasets | |
| Missing Data | |
| morphology evolution | |
| morphology similarity | |
| multi-objective optimization | |
| multidimensional indexing | |
| N | |
| Natural Language Processing | |
| Neural Networks | |
| P | |
| Paper Selection | |
| Pareto front | |
| parking recommendation | |
| Parking sensor | |
| Pattern Detection | |
| Personal Data Management Systems | |
| Predictive Query | |
| Probabilistic Graphs | |
| Program Committee | |
| Q | |
| query optimisation | |
| query optimization | |
| Query Processing | |
| Question Answering | |
| R | |
| Ranking | |
| RDF | |
| RDF/S | |
| Relational Algebra | |
| reproducibility | |
| S | |
| Scalability | |
| SciDB | |
| Scientific Data | |
| Secure aggregation | |
| semantic caching | |
| semantic similarity | |
| Semantic Summaries | |
| Sensor Data | |
| Shortest Paths | |
| Small datasets | |
| Social Networks | |
| Spatial Data | |
| Spatio-temporal Databases | |
| Spatio-temporal indexing | |
| spinodal decomposition | |
| SSDBM | |
| SSDBM 2021 | |
| SSDBM 2022 | |
| statistical data | |
| Steel Industry | |
| subarray skyline | |
| T | |
| Tampa | |
| tensor | |
| time series | |
| Time Series Classification | |
| Time-series | |
| Trajectory join | |
| Trajectory similarity | |
| tree | |
| Truss Decomposition | |
| U | |
| University of Copenhagen | |
| University of Melbourne | |
| University of Michigan | |
| Usability | |
| V | |
| View selection | |
| W | |
| Workload | |
| Write-optimized | |