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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
16 years 22 days ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
KDD
2005
ACM
205views Data Mining» more  KDD 2005»
16 years 6 days ago
Feature bagging for outlier detection
Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel feature bagging approach for detecting outliers in...
Aleksandar Lazarevic, Vipin Kumar
SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
15 years 8 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
CISC
2007
Springer
152views Cryptology» more  CISC 2007»
16 years 26 days ago
Orthogonality between Key Privacy and Data Privacy, Revisited
Abstract. Key privacy is a notion regarding the privacy of the owner of a public key, which has important applications in building (receiver) anonymous channels, or privacy-enhance...
Rui Zhang 0002, Goichiro Hanaoka, Hideki Imai
HICSS
2007
IEEE
85views Biometrics» more  HICSS 2007»
16 years 1 months ago
Leveraging Computational Grid Technologies for Building a Secure and Manageable Power Grid
The US Power Industry is in the process of overhauling the Power Grid to make it more secure, reliable, and available. The IT systems that comprise a major part of this change nee...
Himanshu Khurana, Mohammad Maifi Hasan Khan, Von W...