Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information
Summary: Introduces FTPMfTS, a pipeline for mining temporal patterns from time series with event-time intervals. HTPGM enables fast pruning-based mining; an MI-based variant prunes unpromising series, delivering speedups with bounded accuracy. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Van Long Ho
- 2. Nguyen Ho
- 3. Torben Bach Pedersen
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,938 | SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting | 2023 | VLDB | 6.6111703e-05 |
| 7,221 | Akane: Perplexity-Guided Time Series Data Cleaning | 2024 | SIGMOD | 4.7919849e-05 |
| 11,042 | Efficient Discovery of Significant Patterns with Few-Shot Resampling | 2024 | VLDB | 4.1905499e-05 |
| 11,202 | LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation | 2023 | SIGMOD | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,164 | Mining Relationships Among Interval-based Events for Classification | 2008 | SIGMOD | 7.4586417e-05 |
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