| 2,972 |
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing |
2017 |
VLDB |
19 |
7.793491e-05 |
| 3,623 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
26 |
7.150278e-05 |
| 4,858 |
Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB |
2022 |
VLDB |
13 |
6.3770911e-05 |
| 5,111 |
Sequential Data Cleaning: A Statistical Approach |
2016 |
SIGMOD |
13 |
6.2671754e-05 |
| 5,281 |
Enriching Data Imputation with Extensive Similarity Neighbors |
2015 |
VLDB |
5 |
6.1970284e-05 |
| 5,293 |
How to Build Templates for RDF Question/Answering —An Uncertain Graph Similarity Join Approach |
2015 |
SIGMOD |
5 |
6.1908657e-05 |
| 5,647 |
Repairing Vertex Labels under Neighborhood Constraints |
2014 |
VLDB |
5 |
6.0505094e-05 |
| 5,781 |
Consistent Query Answers in Inconsistent Probabilistic Databases |
2010 |
SIGMOD |
5 |
5.9947648e-05 |
| 6,310 |
SCREEN: Stream Data Cleaning under Speed Constraints |
2015 |
SIGMOD |
20 |
5.8151463e-05 |
| 7,149 |
Effective and Efficient Retrieval of Structured Entities |
2020 |
VLDB |
3 |
5.5966554e-05 |
| 7,176 |
Frequency Domain Data Encoding in Apache IoTDB |
2023 |
VLDB |
5 |
5.5912232e-05 |
| 7,467 |
Time Series Data Validity |
2023 |
SIGMOD |
6 |
5.5178324e-05 |
| 7,537 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
3 |
5.4982385e-05 |
| 8,175 |
Efficient Recovery of Missing Events |
2013 |
VLDB |
2 |
5.3822481e-05 |
| 8,546 |
Why Not Match: On Explanations of Event Pattern Queries |
2021 |
SIGMOD |
2 |
5.3174951e-05 |
| 9,147 |
Distance-based Outlier Query Optimization in Apache IoTDB |
2024 |
VLDB |
2 |
5.2190848e-05 |
| 9,253 |
TsQuality: Measuring Time Series Data Quality in Apache IoTDB |
2023 |
VLDB |
1 |
5.2032182e-05 |
| 9,323 |
Apache TsFile: An IoT-native Time Series File Format |
2024 |
VLDB |
5 |
5.1934797e-05 |
| 9,332 |
Semantic SPARQL Similarity Search Over RDF Knowledge Graphs |
2016 |
VLDB |
1 |
5.1917722e-05 |
| 9,388 |
On Repairing Timestamps for Regular Interval Time Series |
2022 |
VLDB |
9 |
5.1843659e-05 |
| 9,578 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
1 |
5.154741e-05 |
| 9,702 |
Constraint-Variance Tolerant Data Repairing |
2016 |
SIGMOD |
3 |
5.1365447e-05 |
| 10,074 |
On Concise Set of Relative Candidate Keys |
2014 |
VLDB |
1 |
5.0842681e-05 |
| 10,135 |
Optimizing Time Series Queries with Versions |
2024 |
SIGMOD |
1 |
5.0727027e-05 |
| 10,275 |
On Saving Outliers for Better Clustering over Noisy Data |
2021 |
SIGMOD |
2 |
5.0466043e-05 |
| 10,470 |
FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,540 |
Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,565 |
Cleaning Time Series under Seasonal and Trend Constraints |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,581 |
From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,590 |
LSM-Raft: Optimizing Raft for LSM-tree Store |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,662 |
Improving LZ4 for Effective Compression and Efficient Query |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,685 |
Quantile Estimation with Duplicates |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,117 |
In-Database Time Series Clustering |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,118 |
Largest Triangle Sampling for Visualizing Time Series in Database |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,125 |
Randomized Sketches for Quantile in LSM-tree based Store |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,210 |
The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,254 |
Migration-Free Elastic Storage of Time Series in Apache IoTDB |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,530 |
High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors |
2024 |
SIGMOD |
1 |
4.9769913e-05 |
| 11,592 |
On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB |
2024 |
VLDB |
0 |
4.9769913e-05 |
| 11,593 |
Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data |
2024 |
VLDB |
0 |
4.9769913e-05 |
| 11,702 |
Grouping Time Series for Efficient Columnar Storage |
2023 |
SIGMOD |
4 |
4.9769913e-05 |
| 11,768 |
CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space |
2023 |
VLDB |
0 |
4.9769913e-05 |
| 11,850 |
Confidence Bounded Replica Currency Estimation |
2022 |
SIGMOD |
1 |
4.9769913e-05 |
| 12,013 |
Approximating Median Absolute Deviation with Bounded Error |
2021 |
VLDB |
5 |
4.9769913e-05 |
| 12,380 |
Cleaning Timestamps with Temporal Constraints |
2016 |
VLDB |
2 |
4.9769913e-05 |
| 12,464 |
Matching Heterogeneous Event Data |
2014 |
SIGMOD |
1 |
4.9769913e-05 |