一种不确定RFID数据流清洗策略

doi:10.11896/j.issn.1002-137X.2016.11A.108

计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 482-485.doi: 10.11896/j.issn.1002-137X.2016.11A.108

• 软件工程与数据库技术 • 上一篇下一篇

一种不确定RFID数据流清洗策略

刘云恒,刘耀宗,张宏

南京森林警察学院信息系南京210023,南京理工大学计算机学院南京210094,南京理工大学计算机学院南京210094

出版日期:2018-12-01 发布日期:2018-12-01
基金资助:
本文受中央高校基本科研业务(LGYB201602)资助

Uncertain RFID Data Stream Cleaning Strategy

LIU Yun-heng, LIU Yao-zong and ZHANG Hong

Online:2018-12-01 Published:2018-12-01

摘要/Abstract

摘要： 原始RFID数据流含有大量噪声且具有不确定性,必须在使用之前对其进行数据清洗,而清洗策略是清洗质量的保证。提出一种适合不确定RFID数据流的清洗策略。该清洗策略引入了最大熵原理,对待清洗的RFID元组的特征属性进行权重选择,并根据清洗节点的时间消耗以及误差进行清洗成本分析,决策出最佳的清洗方法。仿真实验结果表明,该清洗策略提高了不确定RFID数据流的清洗效率与精度。

关键词: RFID数据流,不确定性,清洗策略,清洗成本,最大熵特征选择

Abstract: The original RFID data stream contains a lot of noise and uncertainty,so the data must be cleaned before using and the cleaning strategy is the guarantee of the quality of the cleaning.In this paper,a new method for cleaning the RFID data stream was proposed.The maximum entropy principle is introduced in the cleaning strategy,and this treat cleaning RFID tuple attributes to select weights.the cleaning cost analysis is performed according to the cleaning node time-consuming and error to decide the best cleaning method.Simulation experiment results show that this clea-ning strategy improves the cleaning efficiency and accuracy of the RFID data stream.

Key words: RFID data stream,Uncertainty,Cleaning strategy,Cleaning costs,Max-entropy feature selection

刘云恒,刘耀宗,张宏. 一种不确定RFID数据流清洗策略[J]. 计算机科学, 2016, 43(Z11): 482-485. https://doi.org/10.11896/j.issn.1002-137X.2016.11A.108

LIU Yun-heng, LIU Yao-zong and ZHANG Hong. Uncertain RFID Data Stream Cleaning Strategy[J]. Computer Science, 2016, 43(Z11): 482-485. https://doi.org/10.11896/j.issn.1002-137X.2016.11A.108

参考文献

[1] Derakhshan R,Orlowska M E,Li Xue.RFID data manage-ment:challenges and opportunities [C]∥Proceeding of IEEE International Conference on RFID.Dallas:IEEE Computer Society,2007:175-182
[2] 李战怀,聂艳明,等.RFID数据管理的研究进展[J].中国计算机学会通讯,2007,2(3):32-40
[3] 谷峪,于戈,等.在于RFID应用的综合性数据清洗策略[J].东北大学学报(自然科学版),2008,29(11):1552-1555
[4] 夏秀峰,玄丽娟,李晓明.分流机制下的RFID 不确定数据清洗策略[J].计算机科学,38(10A),2011:22-25
[5] Gonzalez H,Han J,Shen X.Cost-conscious cleaning of massive RFID data sets[C]∥Proceedings of International Conference on Data Engineering(ICDE).Istanbul,Turkey,2007:1268-1272
[6] 覃远翔,段亮,岳昆.基于信息熵的不确定性数据清理方法[J].计算机应用,2013,33(9):2490-2492,2504
[7] Liu Yao-zong,Wang Yong-li,Wei Wei,et al.Feature Selection for Classifying Data Stream Based on Maximum Entropy[C]∥Chinese Conference Pattern Recognition.2009:1-5
[8] Jaynes E T.Information theory and statistical mechanics[J].Phys.Rev.,1957(106):620-630
[9] 宋国杰,唐世渭,杨冬青,等.基于最大熵原理的空间特征选择方法[J].软件学报.2003,4(9):1544-1550
[10] 刘华文.基于信息熵的特征选择算法研究[D].长春:吉林大学,2010

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

一种不确定RFID数据流清洗策略

Uncertain RFID Data Stream Cleaning Strategy

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

Metrics

本文评价

推荐阅读 0