ListarArtículos (Lenguajes y Sistemas Informáticos) por materia "Data mining"
Mostrando ítems 1-17 de 17
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A data mining based clinical decision support system for survival in lung cancer
(Via Médica Journals, 2021)Background: A clinical decision support system (CDSS) has been designed to predict the outcome (overall survival) by ...
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A Survey on Data Mining Techniques Applied to Energy Time Series Forecasting
(MDPI, 2015)Data mining has become an essential tool during the last decade to analyze large sets of data. The variety of techniques ...
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An association rule mining method for estimating the impact of project management policies on software quality, development time and effort
(Elsevier, 2008)Accurate and early estimations are essential for effective decision making in software project management. Nowadays, ...
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An evolutionary algorithm to discover quantitative association rules in multidimensional time series
(Springer, 2011)An evolutionary approach for finding existing relationships among several variables of a multidimensional time series ...
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Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes
(Springer, 2007-01-24)In this article, a set of clustering algorithms based on Fuzzy Logic and Data Mining are applied, allowing to obtain data ...
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Behavior patterns in hormonal treatments using fuzzy logic models
(Springer, 2018)Assisted reproductive technologies are a combination of medical strategies designed to treat infertility patients. Ideal ...
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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 ...
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Data Set Editing by Ordered Projection
(IOS Press, 2001)This paper presents a new approach to data set editing. The algorithm (EOP: Editing by Ordered Projection) has some ...
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Discovering gene association networks by multi-objective evolutionary quantitative association rules
(Elsevier, 2014)In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the ...
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Discovering quantitative association rules: A novel approach based on evolutionary algorithms
(IOS Press, 2014)This work proposes a novel methodology to improve the discovery of quantitative association rules in continuous datasets. ...
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Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets
(iOS Press, 2015)Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes ...
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Ethnic difference in risk of toxicity in prostate cancer patients treated with dynamic arc radiation therapy
(SAGE Publications, 2015)Aims and background: The objective of this study was to assess the influence of ethnicity on toxicity in patients treated ...
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Finding representative patterns withordered projections
(Elsevier, 2003)This paper presents a new approach to 2nding representative patterns for dataset editing. The algorithm patterns by ...
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Improving a multi-objective evolutionary algorithm to discover quantitative association rules
(Springer, 2015)This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association ...
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Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
(IOS Press, 2010)This research presents the mining of quantitative association rules based on evolutionary computation techniques. First, ...
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Mutation testing in the wild: findings from GitHub
(Springer, 2022)Mutation testing exploits artificial faults to measure the adequacy of test suites and guide their improvement. It has ...
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PolarityRank: Finding an equilibrium between followers and contraries in a network
(Elsevier, 2012)In this paper we present the relevance ranking algorithm named PolarityRank. This algorithm is inspired in PageRank, the ...