%0 Journal Article
%T Mining Optimized Probabilistic Intervention Strategy over Uncertain Data Set<br>在不确定数据集上挖掘优化的概率干预策略
%A WANG Yue
%A TANG Chang-Jie
%A YANG Ning
%A ZHANG Yue
%A LI Hong-Jun
%A ZHENG Jiao-Ling
%A ZHU Jun
%A <br>王悦
%A 唐常杰
%A 杨宁
%A 张悦
%A 李红军
%A 郑皎凌
%A 朱军
%J 软件学报
%D 2011
%I 
%X This study provides models to analyze the intervention over uncertain data. The main contributions include: (1) It establishes a base model named Uncertain Surveillance; (2) It proposes probabilistic intervention strategies over uncertain surveillance with evaluating algorithms; (3) It gives extensive experiments and makes comparisons to show that the proposed model is highly precise and efficient in three order magnitudes of na?ve methods.
%K uncertain data
%K probabilistic intervention strategy
%K strategy evaluate
%K data mining
%K mass data analysis<br>不确定数据
%K 概率干预策略
%K 策略评价
%K 数据挖掘
%K 海量数据分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=09B783EB40D95B3E08D0ED48F57557E8&yid=9377ED8094509821&vid=BC12EA701C895178&iid=0B39A22176CE99FB&sid=B8F8200D88DDC7D6&eid=E42CAFB11D4BE21A&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=26