A Method for Mining and Analyzing Time Series Patterns Related to Aerial Target
Xiaorui Zhao, Hong-Quan Li, Futai Liang, Yuzhi Qi · 2023
A method for mining and analyzing associated time series patterns of aerial targets is proposed to address the issues of high computational complexity and complex algorithm design under the condition of multiple elements of aerial targets. Firstly, preprocess the historical data of aerial targets and conduct preliminary screening based on a single element to reduce the data size. Then, by associating multiple elements, frequent subsequences are obtained and an associated dataset is established. Finally, mining the sequence patterns of aerial target association relationships based on rules. Through simulation experiments, this method can fully utilize the big data information of aerial target tracks and mine the activity patterns of targets in the time dimension.