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Mostrando ítems 11-17 de 17
Artículo
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Ontology-driven approach for KPI meta-modelling, selection and reasoning
(Elsevier, 2021)
A key challenge in current Business Analytics (BA) is the selection of suitable indicators for business objectives. This requires the exploration of business data through data-driven approaches, while modelling business ...
Artículo
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jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
(Elsevier, 2019)
This paper describes jMetalPy, an object-oriented Python-based framework for multi-objective optimization with metaheuristic techniques. Building upon our experiences with the well-known jMetal framework, we have developed ...
Ponencia
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Multi-Objective Big Data Optimization with jMetal and Spark
(Springer, 2017)
Big Data Optimization is the term used to refer to optimiza- tion problems which have to manage very large amounts of data. In this paper, we focus on the parallelization of metaheuristics with the Apache Spark cluster ...
Artículo
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VIGLA-M: visual gene expression data analytics
(BMC, 2019)
Background: The analysis of gene expression levels is used in many clinical studies to know how patients evolve or to find new genetic biomarkers that could help in clinical decision making. However, the techniques and ...
Ponencia
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DisMatch results for OAEI 2016
(CEUR-WS.Org, 2016)
DisMatch is an experimental ontology matching system based on the use of corpus based distributional measure for approximating se- mantic relatedness. Through the use of a domain-related corpus, the measure can be applied ...
Ponencia
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About Designing an Observer Pattern-Based Architecture for a Multi-objective Metaheuristic Optimization Framework
(Springer, 2018)
Multi-objective optimization with metaheuristics is an active and popular research field which is supported by the availability of software frameworks providing algorithms, benchmark problems, quality indicators and ...
Artículo
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On the design of a framework integrating an optimization engine with streaming technologies
(Elsevier, 2020)
A number of streaming technologies have appeared in the last years as a result of the rising of Big Data applications. Nowadays, deciding which technology to adopt is not an easy task due not only to the number of available ...