基于FP-Growth的目標(biāo)編隊規(guī)律挖掘模型

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中圖分類號：E884 文獻標(biāo)志碼：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

基于積累的海量空中目標(biāo)歷史活動數(shù)據(jù)，分析挖掘空戰(zhàn)場典型作戰(zhàn)態(tài)勢規(guī)律，提取深層次高價值的作戰(zhàn)運用知識，是目前面向空戰(zhàn)場態(tài)勢大數(shù)據(jù)分析典型應(yīng)用研究的熱點課題[1-3]。（剩余11698字）