An efficient RFID data cleaning method based on wavelet density estimation

Yaozong Liu, Hong Zhang, Fawang Han, Jun Tan

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A large number of noise are usually carried in the original RFID data and need to be cleaned up before further processing. Outlier detection is an effective method for RFID data cleaning. In this paper, a point probability data model was proposed to describe the uncertain RFID data streams. The wavelet density threshold was incorporated in this method to adaptively detect the outliers in the sliding window by utilizing the multi-scale and multi-granularity characteristics of wavelet density estimation. The process of outlier detection for RFID data streams was discussed in depth. It was shown that, compared with the existing kernel density estimation algorithm, our method had higher efficiency and precision for the uncertain data streams of RFID data cleaning.

Original languageEnglish (US)
Pages (from-to)10-14
Number of pages5
JournalJournal of Digital Information Management
Volume13
Issue number1
StatePublished - Jan 1 2015

Fingerprint

Radio frequency identification (RFID)
Cleaning
Data structures
Density estimation
Radio frequency identification
Wavelets
Data cleaning
Processing
efficiency
Data streams
Outlier detection

Keywords

  • Data cleaning
  • Outlier
  • RFID data streams
  • Uncertain
  • Wavelet density estimation (WDE)

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Library and Information Sciences

Cite this

An efficient RFID data cleaning method based on wavelet density estimation. / Liu, Yaozong; Zhang, Hong; Han, Fawang; Tan, Jun.

In: Journal of Digital Information Management, Vol. 13, No. 1, 01.01.2015, p. 10-14.

Research output: Contribution to journalArticle

Liu, Yaozong ; Zhang, Hong ; Han, Fawang ; Tan, Jun. / An efficient RFID data cleaning method based on wavelet density estimation. In: Journal of Digital Information Management. 2015 ; Vol. 13, No. 1. pp. 10-14.
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