3 papers
cs.DB2025
MS-Index: Fast Top-k Subsequence Search for Multivariate Time Series under Euclidean Distance
Jens E. d'Hondt, Teun Kortekaas, Odysseas Papapetrou +1
Modern applications frequently collect and analyze temporal data in the form of multivariate time series (MTS) -- time series that contain multiple channels. A common task in this…
cs.LG2025
Generative Correlation Manifolds: Generating Synthetic Data with Preserved Higher-Order Correlations
Jens E. d'Hondt, Wieger R. Punter, Odysseas Papapetrou
The increasing need for data privacy and the demand for robust machine learning models have fueled the development of synthetic data generation techniques. However, current methods…
cs.DB2024
A Survey on Time-Series Distance Measures
John Paparrizos, Haojun Li, Fan Yang +3
Distance measures have been recognized as one of the fundamental building blocks in time-series analysis tasks, e.g., querying, indexing, classification, clustering, anomaly detect…