TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| A | |
| anomaly detection | |
| B | |
| big data | |
| C | |
| Causality in Databases | |
| Challenges | |
| chase | |
| claim detection | |
| classification | |
| Comparisons | |
| Complex Constraints | |
| computational fact-checking | |
| Computing Continuum | |
| Consistent query answering | |
| Constraint Markov Decision Process | |
| D | |
| data analysis | |
| data discovery | |
| data errors | |
| Data Exploration | |
| data journalism | |
| Data management | |
| Data mining | |
| Data processing and analytics | |
| data quality | |
| data repairing | |
| data series | |
| Data Summarization | |
| Database Repairs | |
| Database theory | |
| Database-as-a-Service | |
| Datalog | |
| description logic | |
| Description Logic EL | |
| Digital Tourism | |
| Digital twins | |
| dimension reduction | |
| Données de vente | |
| Dynamic graph | |
| Dynamic Programming | |
| Dynamic Query Optimisation | |
| E | |
| Edge computing | |
| entity-relationship model | |
| existential rules | |
| Exploratory Data Analysis | |
| F | |
| Flight data | |
| functional dependencies | |
| G | |
| g3-error | |
| Gaussian Mixture Models | |
| Graph Data management | |
| Graph Data Mining | |
| graph databases | |
| Graph management | |
| Graph management systems | |
| graph queries | |
| graph query | |
| H | |
| Healthcare Analytics | |
| I | |
| Incomplete relational databases | |
| Indexes | |
| indexing | |
| Industry 4.0 | |
| Information leakage | |
| information retrieval | |
| Insights | |
| K | |
| keyword search | |
| Knowledge discovery | |
| M | |
| Machine learning | |
| meta-learning | |
| Methodology | |
| Middleware | |
| Module | |
| Multi-Cloud | |
| multi-stream graph processing | |
| N | |
| neural networks | |
| nonstationarity | |
| O | |
| OBDA | |
| online algorithms | |
| ontology | |
| OppNet | |
| Optimization | |
| P | |
| pattern containment | |
| Performance | |
| performance evaluation | |
| Personal Data Management Systems | |
| Personnel data | |
| predicates | |
| prediction | |
| Predictive maintenance | |
| preprocessing | |
| Privacy Risks | |
| property graphs | |
| provenance | |
| Q | |
| Qualité des données | |
| Query containment | |
| Query execution | |
| query languages | |
| Query optimization | |
| R | |
| Random forest | |
| RDF Data | |
| reachability index | |
| read-only present and historical queries | |
| reasoning | |
| Recommandations de POIs | |
| refreshing semantics | |
| Reinforcement Learning | |
| relaxed equality | |
| Reproducibility | |
| Resiliency | |
| RLC queries | |
| S | |
| sampling | |
| Scalability | |
| schema discovery | |
| Semirings | |
| semistructured data | |
| Service-Level Agreement | |
| similarity search | |
| Spanning Trees | |
| SPARQL queries | |
| Spatial RDF | |
| statistical database | |
| T | |
| Task Planning | |
| TEE | |
| Temporal Data | |
| Temporal graph traversal | |
| Temporal Graphs | |
| tensor | |
| tensor decomposition | |
| time series | |
| Time series forecasting | |
| Trajectoires de mobilité | |
| transform | |
| Transportation Networks | |
| Trusted Execution Environment | |
| Tucker | |
| Tuple-generating dependencies | |
| U | |
| Untrusted Code | |
| User-defined functions | |
| V | |
| variable automata | |
| view specification | |
| Visualisation automatique | |
| W | |
| Word2Vec | |