26 Result(s)
within
Chapter
María N. Moreno-García
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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...
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Chapter and Conference Paper
A Framework for the Modelling and Simulation of Distributed Transaction Processing Systems Using Coloured Petri Nets
In this paper, a flexible framework is presented that allows us to model and to simulate different types of Distributed Transaction Processing Systems which implement algorithms to solve certain specific probl...
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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
Distributed Computing Using RESTful Semantic Web Services
In this article RESTful semantic web services, a lightweight alternative for the description of semantic web services, are introduced. The conceptual model for this kind of semantic services is reviewed, showing ...
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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
Semantic Based Web Mining for Recommender Systems
Availability of efficient mechanisms for selective and personalized recovery of information is nowadays one of the main demands of Web users. In the last years some systems endowed with intelligent mechanisms ...
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Chapter
Metadata Architecture in RESTful Design
Metadata is a key component of the REST architecture that can be used to provide additional information about web resources. The ultimate goal of metadata is to transform web resources into self describing inf...
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Chapter and Conference Paper
Applying Recommender Methodologies in Tourism Sector
Nowadays, there is a constant need for personalization in recommender systems. Thus, they try to bring it by making suggestion and providing information about items available. There are numerous options of met...
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Chapter and Conference Paper
RESTful Triple Space Management of Cloud Architectures
In this paper we present a job coordination service for distributed applications being executed in a Hadoop cluster based on the use of a RDF backed triple space and a RESTful web services interface. The syste...
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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
Random Forest Based Ensemble Classifiers for Predicting Healthcare-Associated Infections in Intensive Care Units
Surveillance and prevention of infections acquired in the hospital environment is an important challenge in the current health systems given the great impact of these kind of infections on patient mortality as...
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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
Recommendation of Songs in Music Streaming Services: Dealing with Sparsity and Gray Sheep Problems
The interest for providing users with suitable recommendations of songs and playlists has increased since online services for listening to music have become popular. Many methods for achieving this objective h...
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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
Social Influence-Based Similarity Measures for User-User Collaborative Filtering Applied to Music Recommendation
Social characteristics present in current music streaming services allow to use methods for endowing these systems with more reliable recommendation functionalities. There are many proposals in the literature ...
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Chapter and Conference Paper
Moodsically. Personal Music Management Tool with Automatic Classification of Emotions
It is a fact that music is directly linked to emotions. Various researches study the link between musical characteristics and the feeling produced or even induced. This work shows a web tool that allows the a...
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Chapter and Conference Paper
Context-Aware Music Recommender System Based on Automatic Detection of the User’s Physical Activity
The large amount of music that can be accessed in streaming nowadays has led to the development of more reliable music recommendation systems. To this end, context-aware music recommendation systems, capable o...
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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
Estimating Time Lost on Semaphores with Deep Learning
Traffic flow congestion is a very present problem on the daily life of citizens of big cities. Furthermore, it is growing by the day because of the increase of population. Furthermore, it has undesirable conse...
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Chapter and Conference Paper
Group Recommender Systems in the Music Domain: A Systematic Literature Review
Nowadays music for groups is consumed in both virtual and physical environments. Recommender systems focused on this domain have mostly focused on individual recommendation, although there are also approaches ...
