A Novel Frequent Pattern Mining Algorithm for Real-time Radar Data Stream

This paper attempts to improve the radar data quality and discover intrusion behaviors by mining frequent patterns of real-time data. For this purpose, the author improved the frequent pattern mining algorithm for static datasets, and proposed a maximum frequent pattern mining algorithm based on bitmap mapping. Next, a new frequent pattern mining algorithm was designed specifically for data stream with the storage structure of index pattern tree (IPT). The new algorithm was applied to process the real-time radar data stream. The application results demonstrate efficiency of our algorithm in time and space.