Sciweavers

706 search results - page 19 / 142
» A Methodology for Evaluating and Selecting Data Mining Softw...
Sort
View
ICDAR
2003
IEEE
14 years 1 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
FLAIRS
2008
13 years 10 months ago
Semi-Automatic Refinement and Assessment of Subgroup Patterns
This paper presents a methodological approach for the semiautomatic refinement and assessment of subgroup patterns using summarization and clustering techniques in the context of ...
Martin Atzmüller, Frank Puppe
EDM
2010
140views Data Mining» more  EDM 2010»
13 years 9 months ago
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data
Current peer-review software lacks intelligence for responding to students' reviewing performance. As an example of an additional intelligent assessment component to such soft...
Wenting Xiong, Diane J. Litman, Christian D. Schun...
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
14 years 8 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
COMPSEC
2010
122views more  COMPSEC 2010»
13 years 6 months ago
Taming role mining complexity in RBAC
In this paper we address the problem of reducing the role mining complexity in RBAC systems. To this aim, we propose a three steps methodology: first, we associate a weight to rol...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...