Feature-Based Online Representation Algorithm for Streaming Time Series Similarity Search
Peng Zhan, Changchang Sun, Yupeng Hu, Wei Luo, Jiecai Zheng, Xueqing Li · International Journal of Pattern Recognition and Artificial Intelligence · 2019
With the rapid development of information technology, we have already access to the era of big data. Time series is a sequence of data points associated with numerical values and successive timestamps. Time series not only has the traditional big data features, but also can be continuously generated in a high speed. Therefore, it is very time- and resource-consuming to directly apply the traditional time series similarity search methods on the raw time series data. In this paper, we propose a novel online segmenting algorithm for streaming time series, which has a relatively high performance on feature representation and similarity search. Extensive experimental results on different typical time series datasets have demonstrated the superiority of our method.