Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series
Summary: VALMOD delivers exact, scalable discovery of variable-length motifs in data series, removing the need to predefine motif length. It speeds up discovery by up to 20x versus state-of-the-art and yields more intuitive motifs, validated on five real datasets across diverse domains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michele Linardi
- 2. Yan Zhu
- 3. Themis Palpanas
- 4. Eamonn Keogh
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
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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 |
|---|---|---|---|---|
| 243 | Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases | 2001 | SIGMOD | 0.00031074984 |
| 1,157 | A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series | 2013 | VLDB | 0.00013610658 |
| 2,427 | Optimal Multi-scale Patterns in Time Series Streams | 2006 | SIGMOD | 8.8370658e-05 |
| 4,064 | Similarity-Based Queries | 1995 | PODS | 6.4820797e-05 |
| 5,158 | Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes | 2018 | VLDB | 5.6588553e-05 |
| 5,758 | Top-k Nearest Neighbor Search In Uncertain Data Series | 2015 | VLDB | 5.339397e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,645 | Mining Long Sequential Patterns in a Noisy Environment | 2002 | SIGMOD | 4.1945683e-05 |
| 5,991 | Discovering Leitmotifs in Multidimensional Time Series | 2025 | VLDB | 5.2415551e-05 |
| 4,947 | Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information | 2022 | VLDB | 5.8123636e-05 |
| 840 | Efficiently Mining Long Patterns from Databases | 1998 | SIGMOD | 0.00016058396 |
| 5,245 | Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees | 2022 | VLDB | 5.6067361e-05 |
| 5,665 | Rare Time Series Motif Discovery from Unbounded Streams | 2015 | VLDB | 5.3821303e-05 |
| 6,687 | Motiflets - Simple and Accurate Detection of Motifs in Time Series | 2023 | VLDB | 4.9623586e-05 |
| 10,678 | MOMENTI: Scalable Motif Mining in Multidimensional Time Series | 2025 | VLDB | 4.1945683e-05 |
| 10,599 | Time Series Motif Discovery: A Comprehensive Evaluation | 2025 | VLDB | 4.1945683e-05 |
| 2,260 | VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series | 2018 | SIGMOD | 9.1660405e-05 |