电讯技术2016，Vol.56Issue(5)：483-489,7.DOI:10.3969/j.issn.1001-893x.2016.05.003
基于关联性的目标动向热点分析
Hot Spot Analysis Based on Correlation of Target Activity Information
俞鸿波1
作者信息
- 1. 中国西南电子技术研究所，成都610036
- 折叠
摘要
Abstract
A target activity expression and correlation method is presented in order to extract important tar-get activity from varying and massive sensor data. Activity factors are extracted from various information to denote target activity,then,semanticdecision tree is used to classify activity factors,correlative relationships between sensor data are established using knowledge and rules. By extraction of target activity information, it is possible to analyze hot spot or predict target activity trends by correspondent historical target activities. Experiment shows that the proposed target activity information correlation algorithm has high precision, which can be used in real data set.关键词
信息关联/目标动向/热点分析/语义决策树Key words
information correlation/target activity/hot spot analysis/semantic decision tree分类
信息技术与安全科学引用本文复制引用
俞鸿波..基于关联性的目标动向热点分析[J].电讯技术,2016,56(5):483-489,7.
