| 2,995 |
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing |
2017 |
VLDB |
7.8750141e-05 |
| 3,793 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
7.1217835e-05 |
| 4,762 |
Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB |
2022 |
VLDB |
6.519484e-05 |
| 4,994 |
Sequential Data Cleaning: A Statistical Approach |
2016 |
SIGMOD |
6.4092706e-05 |
| 5,167 |
Enriching Data Imputation with Extensive Similarity Neighbors |
2015 |
VLDB |
6.3370748e-05 |
| 5,168 |
How to Build Templates for RDF Question/Answering —An Uncertain Graph Similarity Join Approach |
2015 |
SIGMOD |
6.3353772e-05 |
| 5,519 |
Repairing Vertex Labels under Neighborhood Constraints |
2014 |
VLDB |
6.1885644e-05 |
| 5,648 |
Consistent Query Answers in Inconsistent Probabilistic Databases |
2010 |
SIGMOD |
6.1351417e-05 |
| 6,186 |
SCREEN: Stream Data Cleaning under Speed Constraints |
2015 |
SIGMOD |
5.9487817e-05 |
| 7,005 |
Effective and Efficient Retrieval of Structured Entities |
2020 |
VLDB |
5.7269998e-05 |
| 7,033 |
Frequency Domain Data Encoding in Apache IoTDB |
2023 |
VLDB |
5.7222622e-05 |
| 7,314 |
Time Series Data Validity |
2023 |
SIGMOD |
5.6471526e-05 |
| 8,008 |
Efficient Recovery of Missing Events |
2013 |
VLDB |
5.5077375e-05 |
| 8,388 |
Why Not Match: On Explanations of Event Pattern Queries |
2021 |
SIGMOD |
5.4364073e-05 |
| 8,409 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
5.4311904e-05 |
| 8,973 |
Distance-based Outlier Query Optimization in Apache IoTDB |
2024 |
VLDB |
5.3414033e-05 |
| 9,066 |
TsQuality: Measuring Time Series Data Quality in Apache IoTDB |
2023 |
VLDB |
5.3251649e-05 |
| 9,149 |
Semantic SPARQL Similarity Search Over RDF Knowledge Graphs |
2016 |
VLDB |
5.3134506e-05 |
| 9,156 |
Apache TsFile: An IoT-native Time Series File Format |
2024 |
VLDB |
5.3119028e-05 |
| 9,199 |
On Repairing Timestamps for Regular Interval Time Series |
2022 |
VLDB |
5.3058708e-05 |
| 9,386 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
5.2755515e-05 |
| 9,590 |
Constraint-Variance Tolerant Data Repairing |
2016 |
SIGMOD |
5.2520062e-05 |
| 9,883 |
On Concise Set of Relative Candidate Keys |
2014 |
VLDB |
5.2033964e-05 |
| 9,947 |
Optimizing Time Series Queries with Versions |
2024 |
SIGMOD |
5.1915905e-05 |
| 10,065 |
On Saving Outliers for Better Clustering over Noisy Data |
2021 |
SIGMOD |
5.1648805e-05 |
| 10,245 |
FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series |
2026 |
SIGMOD |
5.093636e-05 |
| 10,322 |
Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints |
2026 |
SIGMOD |
5.093636e-05 |
| 10,353 |
Cleaning Time Series under Seasonal and Trend Constraints |
2026 |
SIGMOD |
5.093636e-05 |
| 10,372 |
From Suspicious Errors to Valid Data: On Repairing Spatio-Temporal Data via Spatial and Temporal Dependencies |
2026 |
SIGMOD |
5.093636e-05 |
| 10,383 |
LSM-Raft: Optimizing Raft for LSM-tree Store |
2026 |
SIGMOD |
5.093636e-05 |
| 10,464 |
Improving LZ4 for Effective Compression and Efficient Query |
2026 |
SIGMOD |
5.093636e-05 |
| 10,487 |
Quantile Estimation with Duplicates |
2026 |
SIGMOD |
5.093636e-05 |
| 10,667 |
In-Database Time Series Clustering |
2025 |
SIGMOD |
5.093636e-05 |
| 10,668 |
Largest Triangle Sampling for Visualizing Time Series in Database |
2025 |
SIGMOD |
5.093636e-05 |
| 10,675 |
Randomized Sketches for Quantile in LSM-tree based Store |
2025 |
SIGMOD |
5.093636e-05 |
| 10,784 |
The Best of Both Worlds: On Repairing Timestamps and Attribute Values for Multivariate Time Series |
2025 |
SIGMOD |
5.093636e-05 |
| 10,840 |
Migration-Free Elastic Storage of Time Series in Apache IoTDB |
2025 |
VLDB |
5.093636e-05 |
| 11,179 |
High Precision ≠ High Cost: Temporal Data Fusion for Multiple Low-Precision Sensors |
2024 |
SIGMOD |
5.093636e-05 |
| 11,257 |
On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB |
2024 |
VLDB |
5.093636e-05 |
| 11,258 |
Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data |
2024 |
VLDB |
5.093636e-05 |
| 11,381 |
Grouping Time Series for Efficient Columnar Storage |
2023 |
SIGMOD |
5.093636e-05 |
| 11,450 |
CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space |
2023 |
VLDB |
5.093636e-05 |
| 11,535 |
Confidence Bounded Replica Currency Estimation |
2022 |
SIGMOD |
5.093636e-05 |
| 11,703 |
Approximating Median Absolute Deviation with Bounded Error |
2021 |
VLDB |
5.093636e-05 |
| 12,081 |
Cleaning Timestamps with Temporal Constraints |
2016 |
VLDB |
5.093636e-05 |
| 12,167 |
Matching Heterogeneous Event Data |
2014 |
SIGMOD |
5.093636e-05 |