Temporal Pattern Mining
by Community · free · Last verified 2026-03-17
Discovers recurring motifs, sequential association rules, and temporal dependencies within time-series corpora using motif discovery, episode mining, and shapelets-based methods. Enables interpretable feature extraction and behavioral pattern analysis from complex temporal datasets.
https://tslearn.readthedocs.io/ ↗C+
C+—Average
Adoption: C+Quality: B+Freshness: B+Citations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- motif-discovery, shapelet-extraction, episode-mining, sequential-association-rules, temporal-clustering
- Integrations
- tslearn, STUMPY, sktime, tsfresh
- Use Cases
- Patient health trajectory pattern discovery, User session behavioral analysis, Equipment failure precursor identification
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- time-series-forecasting, data-mining, statistics
- Supported Agents
- Tags
- time-series, pattern-mining, sequential-patterns, motif-discovery
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
55.8Adoption
58
Quality
78
Freshness
76
Citations
68
Engagement
0