Multivariate time series classification analysis: State-of-the-art and future challenges
Tri Handhika, Murni Murni, Dewi Putrie Lestari, Ilmiyati Sari · IOP Conference Series Materials Science and Engineering · 2019
Abstract In the era of big data and internet of things (IoT) revolution, it is possible to observe some variables for an object in real time, e.g. sensor data obtained from one or more sensor devices. In addition to extrapolate these data simultaneously, the other hot issue is how to use these data for classifying some variables into some groups, respectively. Multivariate time series classification (MTSC) analysis provides various models to represent this problem according to its characteristics. In this paper, we tried to summarize state-of-the-art methods for MTSC analysis complete with their strengths and weaknesses. Furthermore, we also focused on some limitations from previous research for developing MTSC analysis in the future.