| 1,638 |
Apache IoTDB: Time-series Database for Internet of Things |
2020 |
VLDB |
23 |
0.00010009319 |
| 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 |
| 6,310 |
SCREEN: Stream Data Cleaning under Speed Constraints |
2015 |
SIGMOD |
20 |
5.8151463e-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 |
| 9,066 |
NLC: Search Correlated Window Pairs on Long Time Series |
2022 |
VLDB |
1 |
5.226711e-05 |
| 9,087 |
DAFDiscover: Robust Mining Algorithm for Dynamic Approximate Functional Dependencies on Dirty Data |
2024 |
VLDB |
3 |
5.2258409e-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 |
| 9,578 |
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 |
| 9,879 |
Clean4TSDB: A Data Cleaning Tool for Time Series Databases |
2024 |
VLDB |
7 |
5.115241e-05 |
| 10,590 |
LSM-Raft: Optimizing Raft for LSM-tree Store |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,118 |
Largest Triangle Sampling for Visualizing Time Series in Database |
2025 |
SIGMOD |
0 |
4.9769913e-05 |
| 11,254 |
Migration-Free Elastic Storage of Time Series in Apache IoTDB |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,323 |
Improving Time Series Data Compression in Apache IoTDB |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,409 |
TARImpute: Task-Aware auto-Recommender System for Missing Value Imputation Algorithms with Clustering Case Studies |
2025 |
VLDB |
1 |
4.9769913e-05 |
| 11,441 |
bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,592 |
On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB |
2024 |
VLDB |
0 |
4.9769913e-05 |
| 11,702 |
Grouping Time Series for Efficient Columnar Storage |
2023 |
SIGMOD |
4 |
4.9769913e-05 |
| 12,380 |
Cleaning Timestamps with Temporal Constraints |
2016 |
VLDB |
2 |
4.9769913e-05 |
| 12,449 |
Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction |
2015 |
VLDB |
0 |
4.9769913e-05 |
| 12,464 |
Matching Heterogeneous Event Data |
2014 |
SIGMOD |
1 |
4.9769913e-05 |
| 14,024 |
MapDupReducer: Detecting Near Duplicates over Massive Datasets |
2010 |
SIGMOD |
2 |
- |