| 2,985 |
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing |
2017 |
VLDB |
19 |
7.7695402e-05 |
| 3,634 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
26 |
7.1266347e-05 |
| 4,880 |
Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB |
2022 |
VLDB |
13 |
6.3566231e-05 |
| 5,131 |
Sequential Data Cleaning: A Statistical Approach |
2016 |
SIGMOD |
13 |
6.2464522e-05 |
| 5,296 |
Enriching Data Imputation with Extensive Similarity Neighbors |
2015 |
VLDB |
5 |
6.1777832e-05 |
| 5,311 |
How to Build Templates for RDF Question/Answering —An Uncertain Graph Similarity Join Approach |
2015 |
SIGMOD |
5 |
6.1703949e-05 |
| 5,659 |
Repairing Vertex Labels under Neighborhood Constraints |
2014 |
VLDB |
5 |
6.0309201e-05 |
| 5,796 |
Consistent Query Answers in Inconsistent Probabilistic Databases |
2010 |
SIGMOD |
5 |
5.9752115e-05 |
| 6,322 |
SCREEN: Stream Data Cleaning under Speed Constraints |
2015 |
SIGMOD |
20 |
5.7959179e-05 |
| 7,066 |
Effective and Efficient Retrieval of Structured Entities |
2020 |
VLDB |
3 |
5.5928342e-05 |
| 7,198 |
Frequency Domain Data Encoding in Apache IoTDB |
2023 |
VLDB |
5 |
5.5727369e-05 |
| 7,486 |
Time Series Data Validity |
2023 |
SIGMOD |
6 |
5.499587e-05 |
| 7,554 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
3 |
5.4800579e-05 |
| 8,190 |
Efficient Recovery of Missing Events |
2013 |
VLDB |
2 |
5.3649295e-05 |
| 8,564 |
Why Not Match: On Explanations of Event Pattern Queries |
2021 |
SIGMOD |
2 |
5.2999122e-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 |
| 9,357 |
Semantic SPARQL Similarity Search Over RDF Knowledge Graphs |
2016 |
VLDB |
1 |
5.1746049e-05 |
| 9,414 |
On Repairing Timestamps for Regular Interval Time Series |
2022 |
VLDB |
9 |
5.1672232e-05 |
| 9,603 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
1 |
5.1376962e-05 |
| 9,733 |
Constraint-Variance Tolerant Data Repairing |
2016 |
SIGMOD |
3 |
5.1196037e-05 |
| 9,839 |
Randomized Sketches for Quantile in LSM-tree based Store |
2025 |
SIGMOD |
1 |
5.1064323e-05 |
| 10,108 |
On Concise Set of Relative Candidate Keys |
2014 |
VLDB |
1 |
5.0674699e-05 |
| 10,172 |
Optimizing Time Series Queries with Versions |
2024 |
SIGMOD |
1 |
5.0559291e-05 |
| 10,302 |
On Saving Outliers for Better Clustering over Noisy Data |
2021 |
SIGMOD |
2 |
5.0299171e-05 |
| 10,536 |
FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,606 |
Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,629 |
Cleaning Time Series under Seasonal and Trend Constraints |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,644 |
From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,652 |
LSM-Raft: Optimizing Raft for LSM-tree Store |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,723 |
Improving LZ4 for Effective Compression and Efficient Query |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 10,746 |
Quantile Estimation with Duplicates |
2026 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,178 |
In-Database Time Series Clustering |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,179 |
Largest Triangle Sampling for Visualizing Time Series in Database |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,268 |
The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series |
2025 |
SIGMOD |
0 |
4.9605343e-05 |
| 11,310 |
Migration-Free Elastic Storage of Time Series in Apache IoTDB |
2025 |
VLDB |
0 |
4.9605343e-05 |
| 11,579 |
High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors |
2024 |
SIGMOD |
1 |
4.9605343e-05 |
| 11,640 |
On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB |
2024 |
VLDB |
0 |
4.9605343e-05 |
| 11,641 |
Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data |
2024 |
VLDB |
0 |
4.9605343e-05 |
| 11,748 |
Grouping Time Series for Efficient Columnar Storage |
2023 |
SIGMOD |
4 |
4.9605343e-05 |
| 11,812 |
CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space |
2023 |
VLDB |
0 |
4.9605343e-05 |
| 11,894 |
Confidence Bounded Replica Currency Estimation |
2022 |
SIGMOD |
1 |
4.9605343e-05 |
| 12,057 |
Approximating Median Absolute Deviation with Bounded Error |
2021 |
VLDB |
5 |
4.9605343e-05 |
| 12,423 |
Cleaning Timestamps with Temporal Constraints |
2016 |
VLDB |
2 |
4.9605343e-05 |
| 12,507 |
Matching Heterogeneous Event Data |
2014 |
SIGMOD |
1 |
4.9605343e-05 |