ArticleKDD : proceedings. International Conference on Knowledge Discovery & Data Mining2017
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data.
Article in KDD : proceedings. International Conference on Knowledge Discovery & Data Mining, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Real-time detection of spoken speech from unlabeled ECoG signals: a pilot study with an ALS participant.Journal of neural engineering · 2025Trial
- Clustering matrix-object data by correlational structure as proxy causal signals.Scientific reports · 2026Article
- Molecular Insights into the β‑Lactam α‑Methyl Modulation ofACS omega · 2026Article
- MSQPSO-Optimized MSCC-CAE for Sensor Fault Detection and Localization in Small Modular Reactors.Sensors (Basel, Switzerland) · 2026Article
- The textures of sarcoidosis: quantifying lung disease through variograms.Physics in medicine and biology · 2025Article
- Multi-channel anomaly detection using graphical models.Journal of intelligent manufacturing · 2025Article
- Real-time detection of spoken speech from unlabeled ECoG signals: A pilot study with an ALS participant.medRxiv : the preprint server for health sciences · 2024Article
- The textures of sarcoidosis: quantifying lung disease through variograms.medRxiv : the preprint server for health sciences · 2024Article
- Characterizing Pairwise U-Turn Behavior in Fish: A Data-Driven Analysis.Entropy (Basel, Switzerland) · 2023Article
- Low Back Pain Exacerbation Is Predictable Through Motif Identification in Center of Pressure Time Series Recorded During Dynamic Sitting.Frontiers in physiology · 2021Article
- Dynamics reconstruction and classification via Koopman features.Data mining and knowledge discovery · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Subsequence clustering of multivariate time series is a useful tool for discovering repeated patterns in temporal data. Once these patterns have been discovered, seemingly complicated datasets can be interpreted as a temporal sequence of only a small number of states, or
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.