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Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow. (arXiv:2205.09703v1 [cs.LG])
May 20, 2022, 1:12 a.m. | Jeeyung Kim, Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu
cs.LG updates on arXiv.org arxiv.org
In modeling time series data, we often need to augment the existing data
records to increase the modeling accuracy. In this work, we describe a number
of techniques to extract dynamic information about the current state of a large
scientific workflow, which could be generalized to other types of applications.
The specific task to be modeled is the time needed for transferring a file from
an experimental facility to a data center. The key idea of our approach is to …
arxiv case case study extract information modeling series study time time series workflow
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