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2009 IEEE International Conference on Data Mining Workshops
Theoretically Optimal Distributed Anomaly Detection
Miami, Florida, USA
December 06-December 06
ISBN: 978-0-7695-3902-7
ASCII Text
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Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj Oza, Jaideep Srivastava, "Theoretically Optimal Distributed Anomaly Detection," Data Mining Workshops, International Conference on, pp. 515-520, 2009 IEEE International Conference on Data Mining Workshops, 2009.
 
 
BibTex
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@article{ 10.1109/ICDMW.2009.40,
author = {Aleksandar Lazarevic and Nisheeth Srivastava and Ashutosh Tiwari and Josh Isom and Nikunj Oza and Jaideep Srivastava},
title = {Theoretically Optimal Distributed Anomaly Detection},
journal ={Data Mining Workshops, International Conference on},
volume = {0},
year = {2009},
isbn = {978-0-7695-3902-7},
pages = {515-520},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2009.40},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining Workshops, International Conference on
TI - Theoretically Optimal Distributed Anomaly Detection
SN - 978-0-7695-3902-7
SP515
EP520
A1 - Aleksandar Lazarevic,
A1 - Nisheeth Srivastava,
A1 - Ashutosh Tiwari,
A1 - Josh Isom,
A1 - Nikunj Oza,
A1 - Jaideep Srivastava,
PY - 2009
VL - 0
JA - Data Mining Workshops, International Conference on
ER -
 
A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly detection procedures with a novel method for computing global statistics using local sufficient statistics. Under a Gaussian assumption, our distributed algorithm is guaranteed to perform as well as its centralized counterpart, a condition we call ‘zero information loss’. We further report experimental results on synthetic as well as real-world data to demonstrate the viability of our approach.
Citation:
Aleksandar Lazarevic, Nisheeth Srivastava, Ashutosh Tiwari, Josh Isom, Nikunj Oza, Jaideep Srivastava, "Theoretically Optimal Distributed Anomaly Detection," icdmw, pp.515-520, 2009 IEEE International Conference on Data Mining Workshops, 2009
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