2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.DC2023★ 1 cited
High-performance Time Series Anomaly Discovery on Graphics Processors
Mikhail Zymbler, Yana Kraeva
Currently, discovering subsequence anomalies in time series remains one of the most topical research problems. A subsequence anomaly refers to successive points in time that are co…
cs.DC2018★ 2 cited
The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor
Yana Kraeva, Mikhail Zymbler
Nowadays, subsequence similarity search is required in a wide range of time series mining applications: climate modeling, financial forecasts, medical research, etc. In most of the…