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Mostrando ítems 21-30 de 35
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
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
A comparison of effort estimation methods for 4GL programs: experiences with Statistics and Data Mining
(World Scientific Publishing Company, 2006)
This paper presents an empirical study analysing the relationship between a set of metrics for Fourth–Generation Languages (4GL) programs and their maintainability. An analysis has been made using historical data of several ...
Artículo
Soft Computing Methods for Disulfide Connectivity Prediction
(Libertas Academica, 2015)
The problem of protein structure prediction (PSP) is one of the main challenges in structural bioinformatics. To tackle this problem, PSP can be divided into several subproblems. One of these subproblems is the prediction ...
Artículo
Evolutionary decision rules for predicting protein contact maps
(Springer, 2012)
Protein structure prediction is currently one of the main open challenges in Bioinformatics. The protein contact map is an useful, and commonly used, represen tation for protein 3D structure and represents binary proximities ...
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
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
Incremental wrapper-based gene selection from microarray data for cancer classification
(Elsevier, 2006)
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single experiment. We present a new heuristic to ...
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 ...
Artículo
Protein Secondary Structures Prediction based on Evolutionary Computation
(Association for Computing Machinery (ACM), 2011)
In this paper we propose an approach based on evolutionary computation for the prediction of secondary protein structure motifs. The prediction model consists of a set of rules that predict both the beginning and the ...