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Evaluating link prediction on large graphs
(IOS Press, 2015)
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Exploiting network data (i.e., graphs) is a rather particular case of data mining. The size and relevance of network domains justifies research on graph mining, but also brings forth severe complications. Computational ...
A methodology for maintaining consistency between conceptual interpretations of nested partitions
(2016)
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The relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is ...
On the hybridation of artificial intelligence and statistics for effective knowledge discovery in ill-structured domains with messy data
(2010)
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Several experiencies highlighted the suitability of combinining AI techniques with
Clustering techniques for effective KDD in very complex domains. In this work the benefits of using hybrid methodologies for extracting ...
Discovery of spatio-temporal patterns from location based social networks
(IOS Press, 2014)
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Location Based Social Networks (LBSN) have become an interesting source for mining user behavior. These networks (e.g. Twitter, Instagram or Foursquare) collect spatio-temporal data from users in a way that they can be ...
Modelling temporal relationships in pseudomonas aeruginosa antimicrobial resistance prediction in intensive care unit
(CEUR-WS.org, 2020)
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In this paper, the prediction of antimicrobial resistance of Pseudomonas aeruginosa bacteria caused by nosocomial infections in the Intensive Care Unit (ICU) was considered. It was trained a Logistic Regression model using ...
An interoperable workflow-based framework for the automation of building intelligent process control systems
(International Environmental Modelling and Software Society (iEMSs), 2018)
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One of the major problems to design and implement a control/supervision system for a process lies in the need to establish an ad-hoc system for each process installation. On the other side, an open challenge related to the ...
Link prediction in very large directed graphs: Exploiting hierarchical properties in parallel
(CEUR-WS.org, 2014)
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Link prediction is a link mining task that tries to find new edges within a given graph. Among the targets of link prediction there is large directed graphs, which are frequent structures nowadays. The typical sparsity of ...
Herramienta basada en minería de datos para la automatización del diseño de sistemas inteligentes en EDAR
(Asociación Española de Abastecimientos de Agua y Saneamiento, 2019)
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Uno de los principales problemas para diseñar e implementar un sistema de supervisión y control para un proceso radica en la necesidad de establecer una solución ad-hoc para cada instalación. La interoperabilidad de los ...
Social network data analysis for event detection
(IOS Press, 2014)
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Cities concentrate enough Social Network (SN) activity to empower rich models. We present an approach to event discovery based on the information provided by three SN, minimizing the data properties used to maximize the ...
Coin_flipper at eHealth-KD challenge 2019: voting LSTMs for key phrases and semantic relation identification applied to spanish eHealth texts
(CEUR-WS.org, 2019)
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This paper describes our approach presented for the eHealthKD 2019 challenge. Our participation was aimed at testing how far we could go using generic tools for Text-Processing but, at the same time, using common optimization ...