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 |