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» An Algebraic Approach to Data Mining: Some Examples
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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
16 years 2 days ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
AIIA
2003
Springer
15 years 9 months ago
Abduction in Classification Tasks
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
Maurizio Atzori, Paolo Mancarella, Franco Turini
KDD
2001
ACM
145views Data Mining» more  KDD 2001»
16 years 6 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 10 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
WABI
2009
Springer
124views Bioinformatics» more  WABI 2009»
16 years 19 days ago
Mimosa: Mixture Model of Co-expression to Detect Modulators of Regulatory Interaction
Background: Functionally related genes tend to be correlated in their expression patterns across multiple conditions and/or tissue-types. Thus co-expression networks are often use...
Matthew Hansen, Logan Everett, Larry Singh, Sridha...