Homogeneous Ensemble Instance Intervals Determination Method of Time Series Data Based on Granular Computing
Jaewoong Kang, Wooseong Yang, Mye M. Sohn · International Journal of Machine Learning and Computing · 2020
It is very important to determine the size of the instance since it has a large impact on the recognition performance of the devices.In this paper, we propose a novel method to recognize the intervals of the time-series data using granular computing.Unlike traditional methods which use fixed size or knowledge-based, our method is conducted data-driven.Based on the concept of the granular computing, we classified the operation data of devices into three levels and proposed a multi-SVM-based machine learning method that can automatically classify each granule.We have proven the excellence of our method by conducting and evaluating experiments with two perspectives.