| 1,644 |
Apache IoTDB: Time-series Database for Internet of Things |
2020 |
VLDB |
23 |
9.9773086e-05 |
| 2,771 |
GraphMiner: A Structural Pattern-Mining System for Large Disk-based Graph Databases and Its Applications |
2005 |
SIGMOD |
2 |
8.0164227e-05 |
| 3,634 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
26 |
7.1266347e-05 |
| 3,731 |
Schema Management for Document Stores |
2015 |
VLDB |
7 |
7.0445622e-05 |
| 4,303 |
Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics |
2015 |
VLDB |
7 |
6.6602891e-05 |
| 7,052 |
The Next Generation Operational Data Historian for IoT Based on Informix |
2014 |
SIGMOD |
1 |
5.5961966e-05 |
| 7,272 |
Akane: Perplexity-Guided Time Series Data Cleaning |
2024 |
SIGMOD |
3 |
5.5530425e-05 |
| 7,554 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
3 |
5.4800579e-05 |
| 7,653 |
MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs |
2014 |
VLDB |
5 |
5.4592529e-05 |
| 9,086 |
NLC: Search Correlated Window Pairs on Long Time Series |
2022 |
VLDB |
1 |
5.2094282e-05 |
| 9,094 |
DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data |
2024 |
VLDB |
3 |
5.208561e-05 |
| 9,169 |
Distance-based Outlier Query Optimization in Apache IoTDB |
2024 |
VLDB |
2 |
5.2018272e-05 |
| 9,277 |
TsQuality: Measuring Time Series Data Quality in Apache IoTDB |
2023 |
VLDB |
1 |
5.1860131e-05 |
| 9,349 |
Apache TsFile: An IoT-native Time Series File Format |
2024 |
VLDB |
5 |
5.1763069e-05 |
| 9,603 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
1 |
5.1376962e-05 |
| 9,912 |
Clean4TSDB: A Data Cleaning Tool for Time Series Databases |
2024 |
VLDB |
7 |
5.0983269e-05 |
| 9,914 |
MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data |
2024 |
VLDB |
5 |
5.0983269e-05 |
| 10,276 |
SOR: A Practical System for Ontology Storage, Reasoning and Search |
2007 |
VLDB |
3 |
5.0352713e-05 |
| 11,060 |
MAPPipe: A System for Bridging Efficiency and Quality in Data Preprocessing via Knowledge-Augmented Structural Pruning |
2026 |
VLDB |
0 |
4.9605343e-05 |
| 11,179 |
Largest Triangle Sampling for Visualizing Time Series in Database |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,310 |
Migration-Free Elastic Storage of Time Series in Apache IoTDB |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,342 |
BLAEQ: A Multigrid Index for Spatial Query on Geometry Data |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,377 |
Improving Time Series Data Compression in Apache IoTDB |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,413 |
UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow |
2025 |
VLDB |
2 |
4.9605343e-05 |
| 11,461 |
DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,462 |
TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies |
2025 |
VLDB |
1 |
4.9605343e-05 |
| 11,493 |
bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,640 |
On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB |
2024 |
VLDB |
0 |
4.9605343e-05 |
| 11,748 |
Grouping Time Series for Efficient Columnar Storage |
2023 |
SIGMOD |
4 |
4.9605343e-05 |
| 12,901 |
Effective and Efficient Semantic Web Data Management over DB2 |
2008 |
SIGMOD |
0 |
4.9605343e-05 |