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Mostrando ítems 11-20 de 35
Artículo
An evolutionary approach to estimating software development projects
(Elsevier, 2001)
The use of dynamic models and simulation environments in connection with software projects paved the way for tools that allow us to simulate the behaviour of the projects. The main advantage of a Software Project Simulator ...
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Artículo
Finding Defective Software Modules by Means of Data Mining Techniques
(IEEE, 2009-07)
The characterization of defective modules in software engineering remains a challenge. In this work, we use data mining techniques to search for rules that indicate modules with a high probability of being defective. ...
Artículo
Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules
(Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2005)
Visualization has become an essential support throughout the KDD process in order to extract hidden information from huge amount of data. Visual data exploration techniques provide the user with graphic views or metaphors ...
Artículo
An effective measure for assessing the quality of biclusters
(Elsevier, 2012)
Biclustering is becoming a popular technique for the study of gene expression data. This is mainly due to the capability of biclustering to address the data using various dimensions simultaneously, as opposed to clustering, ...
Artículo
Supervised learning by means of accuracy-aware evolutionary algorithms
(Elsevier, 2003)
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizable rules in continuous and discrete domains based on evolutionary algorithms. The main contributions of our approach are ...
Artículo
Scatter search-based identification of local patterns with positive and negative correlations in gene expression data
(Elsevier, 2015)
This paper presents a scatter search approach based on linear correlations among genes to find biclusters, which include both shifting and scaling patterns and negatively correlated patterns contrarily to most ...
Artículo
Natural Encoding for Evolutionary Supervised Learning
(IEEE, 2007)
Some of the most influential factors in the quality of the solutions found by an evolutionary algorithm (EA) are a correct coding of the search space and an appropriate evaluation function of the potential solutions. ...
Artículo
Integrating biological knowledge based on functional annotations for biclustering of gene expression data
(Elsevier, 2015)
Gene expression data analysis is based on the assumption that co-expressed genes imply co-regulated genes. This assumption is being reformulated because the co-expression of a group of genes may be the result of an ...
Artículo
Prognostic transcriptional association networks: a new supervised approach based on regression trees
(Oxford Academic, 2011)
Motivation: The application of information encoded in molecular networks for prognostic purposes is a crucial objective of systems biomedicine. This approach has not been widely investigated in the cardiovascular research ...