Method to integrate heterogeneous time-series data with specific description frequency
Jaewon Moon, SeungTack Oh, Seungwoo Keum · 2021 International Conference on Information and Communication Technology Convergence (ICTC) · 2021
As the use of sensors in IoT applications has expanded, substantial amount of time-series datatime-series data are being generated. The demand for analyzing and utilizing time-series data is also increasing. However, because the data were generated under different conditions, the characteristics of data, such as collection frequency and format, are different. Therefore, it is not easy for non-experts to integrate and utilize heterogeneous data without time-series preprocessing knowledge. In this study, we propose a guideline for heterogeneous data integration and regeneration. The proposed method integrates heterogeneous time-series data with a new description frequency to efficiently utilize them for analysis and learning.