摘要
提高元组数目特别大下的不确定数据查询的准确高效特性,采用Top-k查询算法改进设计,通过数据查询操作设计及PT-k查询算法控制集合改进,结果验证有:对城市负荷预测的不确定数据应用预测得出设计算法实现了数据估计及收敛速度快的优点;对java中随机生成的实验数据得出控制集合以外的元组成为查询结果的可能性为0即控制集合较小时,算法优势明显,数据量较大元组更新时对不确定数据查询结果的影响概率明显降低;设计控制集合的方法查询算法远小于现有需要计算的元组方法处理的元组数目。这一研究对于大元组不确定的数据管理具有显著的理论和实践价值。
In order to improve the accuracy of uncertain data query when the number of tuples becomes large,A Top-k query algorithm is proposed by design and operation of data query and the improved PT-k query algorithm.The city load forecasting uncertain data are predicted by using the method,it achieves the data estimation and its convergence speed is fast.The possibility of query result is 0 for the data set generated randomly by Java since the set is out of control set.When control set is small,the algorithm has obvious advantages,and the possibility is obviously reduced for the control set with large number of uncertain data.The proposed algorithm is better than the existed methods in processing the number of tuples.This algorithm has important vallues both in theory and application.
作者
庄志惠
岑健
刘娟
赵晓
王艺璇
ZHUANG Zhihui;CEN Jian;LIU Juan;ZHAO Xiao;WANG Yixuan(School of Automation, Guangdong Polytechnic Normal University, Guangzhou 510665, China;State Grid Nanyang Power Supply Company, Nanyang 473000, Henan, China)
出处
《实验室研究与探索》
CAS
北大核心
2018年第2期124-127,共4页
Research and Exploration In Laboratory
基金
国家自然科学基金无线传感网络的大中型粮库粮情监控技术研究与系统开发(122102210)
广东省科技应用型重大专项项目(2016B020243011)
广东省自然科学基金项目(2014A030313639)
广州市科技计划项目(201607010206)
关键词
元组数目
不确定
数据查询
控制集合
概率
number of tuples
uncertainty
data query
control set
probability