Motiflets - Simple and Accurate Detection of Motifs in Time Series
Summary: Introduce k-Motiflets: sets of exactly k length-l subsequences minimizing the maximum pairwise distance, swapping the hard-to-tune radius r for the intuitive occurrence count k. Provide exact/approx algorithms, automatic parameter-selection, and superior results vs. four MD baselines. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Patrick Schäfer
- 2. Ulf Leser
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,991 | Discovering Leitmotifs in Multidimensional Time Series | 2025 | VLDB | 5.2415551e-05 |
| 6,797 | Raising the ClaSS of Streaming Time Series Segmentation | 2024 | VLDB | 4.9241565e-05 |
| 10,309 | CLaP - State Detection from Time Series | 2026 | VLDB | 4.1945683e-05 |
| 10,561 | TELESAFE: Detecting Private/Work Boundary Crossings in Energy Consumption Trails in Telework | 2025 | VLDB | 4.1945683e-05 |
| 10,599 | Time Series Motif Discovery: A Comprehensive Evaluation | 2025 | VLDB | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,260 | VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series | 2018 | SIGMOD | 9.1660405e-05 |
| 4,219 | Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series | 2018 | SIGMOD | 6.3500768e-05 |
Previous
Page 1 / 1
Next