Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation
Summary: Introduces MPIN, a message-propagation imputation network that recovers multi-attribute missing values in sliding windows under weak stream assumptions, with theoretical justification. Embeds MPIN in a continuous (data- and model-update) framework for efficient, accurate online imputation, outperforming prior methods. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiao Li
- 2. Huan Li
- 3. Hua Lu
- 4. Christian S. Jensen
- 5. Varun Pandey
- 6. Volker Markl
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,242 | ImputeVIS: An Interactive Evaluator to Benchmark Imputation Techniques for Time Series Data | 2024 | VLDB | 4.3690661e-05 |
| 10,321 | DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,346 | Streaming Pattern Discovery in Multiple Time-Series | 2005 | VLDB | 0.00012466288 |
| 2,276 | Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series | 2020 | VLDB | 9.1261944e-05 |
| 2,448 | Multi-Dimensional Regression Analysis of Time-Series Data Streams | 2002 | VLDB | 8.8032353e-05 |
| 2,573 | Query Optimization for Dynamic Imputation | 2017 | VLDB | 8.518235e-05 |
| 2,574 | Discovery of Genuine Functional Dependencies from Relational Data with Missing Values | 2018 | VLDB | 8.5173637e-05 |
| 3,012 | NETS: Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing | 2019 | VLDB | 7.7153586e-05 |
| 4,817 | Clustering by Pattern Similarity in Large Data Sets | 2002 | SIGMOD | 5.8987807e-05 |
| 6,526 | Data Collection and Quality Challenges for Deep Learning | 2020 | VLDB | 5.0267429e-05 |
| 6,727 | ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams | 2021 | VLDB | 4.9483604e-05 |
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