ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data
Summary: ImputeVIS is an interactive, open-source dashboard for benchmarking time-series imputation under configurable consecutive-missing-block scenarios. It combines imputation-focused profiling, composable corruption patterns, explainable comparisons, and AutoML-based parameter optimization. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mourad Khayati (University of Freiburg)
- 2. Quentin Nater (University of Freiburg)
- 3. Jacques Pasquier (University of Freiburg)
BibTeX Citation
@article{khayati_vldb24,
title = {{ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data}},
author = {Khayati, Mourad and Nater, Quentin and Pasquier, Jacques},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4329--4332},
doi = {10.14778/3685800.3685867},
url = {https://doi.org/10.14778/3685800.3685867},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,981 | DIM-SUM: Dynamic Imputation for Smart Utility Management | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,208 | Query Optimization for Dynamic Imputation | 2017 | VLDB | 8.9512455e-05 |
| 2,545 | Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series | 2020 | VLDB | 8.4401333e-05 |
| 4,034 | Missing Value Imputation on Multidimensional Time Series | 2021 | VLDB | 6.9446462e-05 |
| 5,702 | DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation | 2023 | SIGMOD | 6.1153951e-05 |
| 6,417 | ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams | 2021 | VLDB | 5.8822847e-05 |
| 7,844 | Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation | 2024 | VLDB | 5.5332653e-05 |
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