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AIR
2004
131views more  AIR 2004»
15 years 6 months ago
A Survey of Outlier Detection Methodologies
Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes ...
Victoria J. Hodge, Jim Austin
AICCSA
2006
IEEE
77views Hardware» more  AICCSA 2006»
15 years 10 months ago
Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier
This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is m...
Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy,...
KDD
2009
ACM
140views Data Mining» more  KDD 2009»
16 years 7 months ago
Improving clustering stability with combinatorial MRFs
: ? Improving Clustering Stability with Combinatorial MRFs Bekkerman, Ron; Scholz, Martin; Viswanathan, Krishnamurthy HP Laboratories HPL-2009-46 Clustering stability, combinatoria...
Ron Bekkerman, Martin Scholz, Krishnamurthy Viswan...
ICDM
2008
IEEE
235views Data Mining» more  ICDM 2008»
16 years 1 months ago
DECK: Detecting Events from Web Click-Through Data
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
ICDCS
2010
IEEE
15 years 4 months ago
Secure Ranked Keyword Search over Encrypted Cloud Data
As Cloud Computing becomes prevalent, sensitive information are being increasingly centralized into the cloud. For the protection of data privacy, sensitive data has to be encrypte...
Cong Wang, Ning Cao, Jin Li, Kui Ren, Wenjing Lou