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SDM
2011
SIAM
218views Data Mining» more  SDM 2011»
14 years 2 months ago
Segmented nestedness in binary data
A binary matrix is fully nested if its columns form a chain of subsets; that is, any two columns are ordered by the subset relation, where we view each column as a subset of the r...
Esa Junttila, Petteri Kaski
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 4 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
SADM
2008
165views more  SADM 2008»
14 years 11 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
ACL
2009
14 years 9 months ago
Mining Association Language Patterns for Negative Life Event Classification
Negative life events, such as death of a family member, argument with a spouse and loss of a job, play an important role in triggering depressive episodes. Therefore, it is worth ...
Liang-Chih Yu, Chien-Lung Chan, Chung-Hsien Wu, Ch...
ICDM
2008
IEEE
164views Data Mining» more  ICDM 2008»
15 years 6 months ago
Classifying High-Dimensional Text and Web Data Using Very Short Patterns
In this paper, we propose the "Democratic Classifier", a simple, democracy-inspired patternbased classification algorithm that uses very short patterns for classificatio...
Hassan H. Malik, John R. Kender