Outlier-aware data aggregation in sensor networks

Antonios Deligiannakis, Vassilis Stoumpos, Yannis Kotidis, Vasilis Vassalos, Alex Delis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we discuss a robust aggregation framework that can detect spurious measurements and refrain from incorporating them in the computed aggregate values. Our framework can consider different definitions of an outlier node, based on a specified minimum support. Our experimental evaluation demonstrates the benefits of our approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages1448-1450
Number of pages3
DOIs
StatePublished - 2008
Event2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico
Duration: Apr 7 2008Apr 12 2008

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2008 IEEE 24th International Conference on Data Engineering, ICDE'08
CountryMexico
CityCancun
Period4/7/084/12/08

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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