Browsing by Author "Weber, Richard"
Now showing items 1-18 of 18
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(Elsevier, 2015)One of the main tasks of conjoint analysis is to identify consumer preferences about potential products or services. Accordingly, different estimation methods have been proposed to determine the corresponding relevant ...
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(Universidad de Chile, 2017)El presente trabajo consiste en la realización de un análisis de la Unidad Jurídica de una universidad del Estado, desde un punto de vista organizacional y empleando diversas metodologías para identificar posibles problemas ...
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(Elsevier, 2021)Demand forecasting and capacity management are complicated tasks for emergency healthcare services due to the uncertainty, complex relationships, and high public exposure involved. Published research does not show integrated ...
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(Elsevier, 2014)This paper presents a new approach for consumer credit scoring, by tailoring a profit-based classification performance measure to credit risk modeling. This performance measure takes into account the expected profits and ...
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(Elsevier, 2014)Feature selection and classification of imbalanced data sets are two of the most interesting machine learning challenges, attracting a growing attention from both, industry and academia. Feature selection addresses the ...
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(Elsevier, 2014)The performance of classification methods, such as Support Vector Machines, depends heavily on the proper choice of the feature set used to construct the classifier. Feature selection is an NP-hard problem that has been ...
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(Elsevier, 2013)Policing plays an important role in combating street crime. Though policing actions have a dissuasive impact on criminal behavior, they can also have unpredictable and even undesirable effects such as displacement of ...
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(Elsevier, 2015)We present an unsupervised method that selects the most relevant features using an embedded strategy while maintaining the cluster structure found with the initial feature set. It is based on the idea of simultaneously ...
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(Universidad de Chile, 2014)En la industria bancaria se ha demostrado que la mejor estrategia para obtener rentabilidades sobre el promedio y de largo plazo, es tener una relación estrecha con los clientes, que incluye una oferta de productos a la ...
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(ELSEVIER SCIENCE BV, 2005-03-01)Dynamic data mining is increasingly attracting attention from the respective research community. On the other hand, users of installed data mining systems are also interested in the related techniques and will be even more ...
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(ELSEVIER, 2010)Traditional methodologies for time series prediction take the series to be predicted and split it into Q1 training, validation, and test sets. The first one serves to construct forecasting models, the second set for model ...
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(Universidad de Chile, 2018)
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(Elsevier, 2015)Churn prediction is an important application of classification models that identify those customers most likely to attrite based on their respective characteristics described by e.g. socio-demographic and behavioral ...
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(Elsevier, 2016)Support Vector Clustering (SVC) is an important density-based clustering algorithm which can be applied in many real world applications given its ability to handle arbitrary cluster silhouettes and detect the number of ...
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(Elsevier, 2013)Clustering is one of the most widely used approaches in data mining with real life applications in virtually any domain. The huge interest in clustering has led to a possibly three-digit number of algorithms with the ...
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(Elsevier B.V., 2008-09)
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Untitled (IOS Press, 2015)
