An introduction to the architecture of CLUST platform supporting multiple time series data integration and analysis
Jaewon Moon, Seungtaek Oh, Seungwoo Kum · 2022 13th International Conference on Information and Communication Technology Convergence (ICTC) · 2022
Time series analysis applications are utilized in science and industry for a variety of purposes ranging from classification, prediction, and detection of anomalies. The time-series data is valuable because it allows us to interpret past events and make predictions for the future. An event that occurs over time is often influenced by several other factors. Therefore, when using time series data for training and analysis, it is possible to obtain more meaningful results by integrating other relevant time series data. In this paper, we review related technologies for integrating and analyzing multiple time series data collected for different purposes and introduce the CLUST Platform designed to perform it effectively.