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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 9 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 9 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
HICSS
2003
IEEE
130views Biometrics» more  HICSS 2003»
14 years 2 months ago
Estimating the Actual Cost of Transmission System Congestion
This paper describes a methodology that could be used by a utility to estimate the actual cost of congestion on its transmission system using limited, non-state estimator data. Th...
Thomas J. Overbye
KDD
2010
ACM
194views Data Mining» more  KDD 2010»
14 years 17 days ago
Versatile publishing for privacy preservation
Motivated by the insufficiency of the existing quasi-identifier/sensitiveattribute (QI-SA) framework on modeling real-world privacy requirements for data publishing, we propose ...
Xin Jin, Mingyang Zhang, Nan Zhang 0004, Gautam Da...
IVS
2006
127views more  IVS 2006»
13 years 8 months ago
Feature hiding in 3D human body scans
In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan data set. The analogia graph is introduced to study the proportion of structures. The i...
Joseph Laws, Nathaniel Bauernfeind, Yang Cai 0002