Review of Data-centric Time Series Analysis from Sample, Feature, and Period

arXiv:2404.16886v1 Announce Type: new
Abstract: Data is essential to performing time series analysis utilizing machine learning approaches, whether for classic models or today's large language models. A good time-series dataset is advantageous for the model's accuracy, robustness, and convergence, as well as task outcomes and costs. The emergence of data-centric AI represents a shift in the landscape from model refinement to prioritizing data quality. Even though time-series data processing methods frequently come up in a wide range of research fields, …

abstract accuracy analysis arxiv convergence costs cs.ai cs.lg data data-centric dataset emergence feature good language language models large language large language models machine machine learning review robustness sample series time series type