A Demonstration of TENDS: Time Series Management System based on Model Selection
Summary: Model-selection-driven TSMS that automatically picks among 14 forecasting and 3 imputation methods to adapt to diverse sensor/IoT workloads and improve efficiency. Adds an evolving expert-knowledge anomaly-detection KB plus configurable online/offline APIs and visualization. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yuanyuan Yao
- 2. Shenjia Dai
- 3. Yilin Li
- 4. Lu Chen
- 5. Dimeng Li
- 6. Yunjun Gao
- 7. Tianyi Li
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,191 | AutoAI-TS: AutoAI for Time Series Forecasting | 2021 | SIGMOD | 7.4126641e-05 |
| 3,938 | SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting | 2023 | VLDB | 6.6111703e-05 |
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