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AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
HICSS
2005
IEEE
131views Biometrics» more  HICSS 2005»
14 years 1 months ago
Train Traffic Deviation Handling Using Tabu Search and Simulated Annealing
This paper addresses the problem of solving conflicts in railway traffic that arise due to disturbances. It is formulated as a problem of re-scheduling meets and overtakes of trai...
Johanna Törnquist, Jan A. Persson
NIPS
2000
13 years 9 months ago
Active Support Vector Machine Classification
An active set strategy is applied to the dual of a simple reformulation of the standard quadratic program of a linear support vector machine. This application generates a fast new...
Olvi L. Mangasarian, David R. Musicant
ICCAD
1997
IEEE
108views Hardware» more  ICCAD 1997»
13 years 12 months ago
Negative thinking by incremental problem solving: application to unate covering
We introduce a new technique to solve exactly a discrete optimization problem, based on the paradigm of “negative” thinking. The motivation is that when searching the space of...
Evguenii I. Goldberg, Luca P. Carloni, Tiziano Vil...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...