5 papers
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…
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…
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…
OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates
Wieger R. Punter, Odysseas Papapetrou, Minos Garofalakis
A key need in different disciplines is to perform analytics over fast-paced data streams, similar in nature to the traditional OLAP analytics in relational databases i.e., with fil…
Sketch-based Querying of Distributed Sliding-Window Data Streams
Odysseas Papapetrou, Minos Garofalakis, Antonios Deligiannakis
While traditional data-management systems focus on evaluating single, ad-hoc queries over static data sets in a centralized setting, several emerging applications require (possibly…