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Approach based on wavelet analysis for detecting and amending anomalies in dataset 被引量：1

Approach based on wavelet analysis for detecting and amending anomalies in dataset
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摘要 It is difficult to detect the anomalies whose matching relationship among some data attributes is very different from others’ in a dataset. Aiming at this problem, an approach based on wavelet analysis for detecting and amending anomalous samples was proposed. Taking full advantage of wavelet analysis’ properties of multi-resolution and local analysis, this approach is able to detect and amend anomalous samples effectively. To realize the rapid numeric computation of wavelet translation for a discrete sequence, a modified algorithm based on Newton-Cores formula was also proposed. The experimental result shows that the approach is feasible with good result and good practicality. It is difficult to detect the anomalies whose matching relationship among some data attributes is very different from others＇ in a dataset. Aiming at this problem, an approach based on wavelet analysis for detecting and amending anomalous samples was proposed. Taking full advantage of wavelet analysis＇ properties of multi-resolution and local analysis, this approach is able to detect and amend anomalous samples effectively. To realize the rapid numeric computation of wavelet translation for a discrete sequence, a modified algorithm based on Newton-Cores formula was also proposed. The experimental result shows that the approach is feasible with good result and good practicality.
作者 彭小奇 宋彦坡 唐英 张建智
机构地区 School of Energy Science and Engineering School of Physics Science and Technology
出处 《Journal of Central South University of Technology》 EI 2006年第5期491-495,共5页 中南工业大学学报（英文版）
基金 Project(50374079) supported by the National Natural Science Foundation of China
关键词 data preprocessing wavelet analysis anomaly detecting data mining 数据预处理 小波分析 异常检测 数据挖掘
分类号 TP311.13 [自动化与计算机技术—计算机软件与理论]
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参考文献10

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同被引文献11

  • 1刘建国,李志舜,刘东.基于平稳小波变换及奇异值分解的湖底回波分类[J].声学学报,2006,31(2):167-172. 被引量：12
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Journal of Central South University of Technology
2006年 第5期

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