An Online Outlier Detection Technique for Wireless Sensor Networks

Y. Zhang; Nirvana Meratnia; Paul J.M. Havinga

An Online Outlier Detection Technique for Wireless Sensor Networks

Y. Zhang, Nirvana Meratnia, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

43 Citations (Scopus)

47 Downloads (Pure)

Abstract

We propose an online and local outlier detection technique with low resource consumption based on an unsupervised centered quarter-sphere support vector machine for wireless sensor networks. Using synthetic data, we demonstrate that our technique achieves better mining performance in terms of parameter selection using difference kernel functions compared to an earlier o²ine outlier detection technique.

Original language	Undefined
Title of host publication	Third IEEE European Conference on Smart Sensing and Context, EuroSSC 2008
Place of Publication	ETH Zurich
Publisher	ETH Zurich
Pages	25-26
Number of pages	2
ISBN (Print)	978-3-909386-76-5
Publication status	Published - 29 Oct 2008
Event	3rd European Conference on Smart Sensing and Context, EuroSSC 2008 - Zurich, Switzerland Duration: 29 Oct 2008 → 31 Oct 2008 Conference number: 3

Publication series

Name
Publisher	ETH Zurich
Number	08HT8968C

Conference

Conference	3rd European Conference on Smart Sensing and Context, EuroSSC 2008
Abbreviated title	EuroSSC
Country/Territory	Switzerland
City	Zurich
Period	29/10/08 → 31/10/08

Keywords

EWI-13592
IR-65032
METIS-252053

Access to Document

http://www.lulu.com/content/4284519

Cite this

@inproceedings{98efa62ce5664d5e807d3f5362be6939,

title = "An Online Outlier Detection Technique for Wireless Sensor Networks",

abstract = "We propose an online and local outlier detection technique with low resource consumption based on an unsupervised centered quarter-sphere support vector machine for wireless sensor networks. Using synthetic data, we demonstrate that our technique achieves better mining performance in terms of parameter selection using difference kernel functions compared to an earlier o²ine outlier detection technique.",

keywords = "EWI-13592, IR-65032, METIS-252053",

author = "Y. Zhang and Nirvana Meratnia and Havinga, {Paul J.M.}",

year = "2008",

month = oct,

day = "29",

language = "Undefined",

isbn = "978-3-909386-76-5",

publisher = "ETH Zurich",

number = "08HT8968C",

pages = "25--26",

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note = "3rd European Conference on Smart Sensing and Context, EuroSSC 2008 ; Conference date: 29-10-2008 Through 31-10-2008",

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T1 - An Online Outlier Detection Technique for Wireless Sensor Networks

AU - Zhang, Y.

AU - Meratnia, Nirvana

AU - Havinga, Paul J.M.

N1 - Conference code: 3

PY - 2008/10/29

Y1 - 2008/10/29

N2 - We propose an online and local outlier detection technique with low resource consumption based on an unsupervised centered quarter-sphere support vector machine for wireless sensor networks. Using synthetic data, we demonstrate that our technique achieves better mining performance in terms of parameter selection using difference kernel functions compared to an earlier o²ine outlier detection technique.

AB - We propose an online and local outlier detection technique with low resource consumption based on an unsupervised centered quarter-sphere support vector machine for wireless sensor networks. Using synthetic data, we demonstrate that our technique achieves better mining performance in terms of parameter selection using difference kernel functions compared to an earlier o²ine outlier detection technique.

KW - EWI-13592

KW - IR-65032

KW - METIS-252053

M3 - Conference contribution

SN - 978-3-909386-76-5

SP - 25

EP - 26

BT - Third IEEE European Conference on Smart Sensing and Context, EuroSSC 2008

PB - ETH Zurich

CY - ETH Zurich

T2 - 3rd European Conference on Smart Sensing and Context, EuroSSC 2008

Y2 - 29 October 2008 through 31 October 2008

ER -