基于FP-Growth的目标编队规律挖掘模型

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中图分类号：E884 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.05.23

Abstract：In response to the needs of analysis and mining of the formation cooperative operation rules， considering the characteristics of multiple aircraftofone typeand diferent target association orderof the similar sample，a mining algorithm model of formation cooperative rule based on frequent pattern tree is proposed. In the model，the formatting preprocessing method of the sample data and the frequent item sorting strategy are designed，and the frequent pattern growth algorithm mines the knowledge of formation rules at the same time. Furthermore，The typical application characteristics of formation rule are analyzed from dimensions such as grouping application style and combat application style.This model is easy to implement inengineering，and can mine and form therule knowledge of typical target cooperative operation based on theaccumulated formation sampledata. The feasibilityand efectivenessof the model are introduced through case analysis，which can provide high-value inteligence support forreal-time battlefield formation identification and judgment，target situation change trend prediction，and temporary dynamic planning.

Keywords：formation rule；characteristics of combat operation；frequent pattern growth algorithm

0 引言

基于积累的海量空中目标历史活动数据，分析挖掘空战场典型作战态势规律，提取深层次高价值的作战运用知识，是目前面向空战场态势大数据分析典型应用研究的热点课题[1-3]。（剩余11698字）