9 Result(s)
within
Chapter
María N. Moreno-García
Computer Science
English
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Chapter and Conference Paper
Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models
Sentiment analysis of public opinion expressed in social networks has been developed into various applications, especially in English. Hybrid approaches are potential models for reducing sentiment errors on in...
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Chapter and Conference Paper
David – A Novel Approach to an Industrial Recommender System
A conceptual approach to a recommender system that is industrial oriented and optimized for business-to-business. With particular needs, industrial datasets seek assertiveness and contextualization to capitali...
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Chapter and Conference Paper
Developments on Support Vector Machines for Multiple-Expert Learning
In supervised learning scenarios, some applications require solve a classification problem wherein labels are not given as a single ground truth. Instead, the criteria of a set of experts is used to provide la...
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Chapter and Conference Paper
Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services
Suppliers of music streaming services are showing an increasing interest for providing users with reliable personalized recommendations since their practically unlimited offerings make it difficult for users t...
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Chapter and Conference Paper
Simulation of a Directional Process by Means of an Anisotropic Buffer Operator
Geographic information systems have usually implemented a module that allows areas to be delimited by an isotropic buffer. In this kind of buffer, the generating polygon is a circle, which implies a constant d...
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Chapter and Conference Paper
Machine Learning Methods for Mortality Prediction of Polytraumatized Patients in Intensive Care Units – Dealing with Imbalanced and High-Dimensional Data
The aim of this study is the prediction of death of polytraumatized patients based on epidemiological, clinical and health treatment variables by means of data-mining methods. The main problems to be addressed...
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Chapter and Conference Paper
Multivariate Discretization for Associative Classification in a Sparse Data Application Domain
Associative classification is becoming a promising alternative to classical machine learning algorithms. It is a hybrid technique that combines supervised and unsupervised data mining algorithms and builds cla...
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Chapter and Conference Paper
XML Based Integration of Web, Mobile and Desktop Components in a Service Oriented Architecture
Component autonomy and easy composition are two of the main purposes of Service oriented Architectures. Recently, some multilayer frameworks supporting service abstraction and tier-integration facilities have ...
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Chapter and Conference Paper
Mining Interesting Association Rules for Prediction in the Software Project Management Area
Association and classification are two data mining techniques traditionally used for solving different kind of problems. Association has been applied in knowledge discovery and classification in predictive tas...
