Exploració per autor "Muntés Mulero, Víctor"
Ara es mostren els items 11-20 de 20
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Improving microaggregation for complex record anonymization
Pont Tuset, Jordi; Nin Guerrero, Jordi; Medrano Gracia, Pau; Larriba Pey, Josep; Muntés Mulero, Víctor (Springer Verlag, 2008)
Text en actes de congrés
Accés restringit per política de l'editorialMicroaggregation is one of the most commonly employed microdata protection methods. This method builds clusters of at least k original records and replaces the records in each cluster with the centroid of the cluster. ... -
Increasing polynomial regression complexity for data anonymization
Nin Guerrero, Jordi; Pont Tuset, Jordi; Medrano Gracia, Pau; Larriba Pey, Josep; Muntés Mulero, Víctor (IEEE Computer Society, 2007)
Text en actes de congrés
Accés obertPervasive computing and the increasing networking needs usually demand from publishing data without revealing sensible information. Among several data protection methods proposed in the literature, those based on linear ... -
Intensive crossovers: Improving quality in a genetic query optimizer
Muntés Mulero, Víctor; Aguilar Saborit, Josep; Zuzarte, Calisto; Larriba Pey, Josep (International Centre for Numerical Methods in Engineering (CIMNE), 2006)
Text en actes de congrés
Accés obertDatabase schemas and user queries are continuously growing with the need for storing and accessing large amounts of structured information. Among the several proposals to deal with Large Join Query Problem, genetic optimizers ... -
Mining dependencies in large-scale Agile software development projects: A quantitative industry study
Biesialska, Katarzyna; Franch Gutiérrez, Javier; Muntés Mulero, Víctor (Association for Computing Machinery (ACM), 2021)
Text en actes de congrés
Accés obertContext: Coordination in large-scale software development is critical yet difficult, as it faces the problem of dependency management and resolution. In this work, we focus on managing requirement dependencies that in Agile ... -
On the use of semantic blocking techniques for data cleansing and integration
Nin Guerrero, Jordi; Muntés Mulero, Víctor; Martínez Bazán, Norbert; Larriba Pey, Josep (IEEE Computer Society, 2007)
Text en actes de congrés
Accés obertRecord Linkage (RL) is an important component of data cleansing and integration. For years, many efforts have focused on improving the performance of the RL process, either by reducing the number of record comparisons ... -
Overlapping community search for social networks
Padrol Sureda, Arnau; Perarnau Llobet, Guillem; Pfeifle, Julián; Muntés Mulero, Víctor (IEEE Press. Institute of Electrical and Electronics Engineers, 2010)
Text en actes de congrés
Accés obertFinding decompositions of a graph into a family of clusters is crucial to understanding its underlying structure. While most existing approaches focus on partitioning the nodes, real-world datasets suggest the presence ... -
Parameter determination of ONN (Ordered Neural Networks)
Pont Tuset, Jordi; Medrano Gracia, Pau; Nin Guerrero, Jordi; Larriba Pey, Josep; Muntés Mulero, Víctor (2007)
Report de recerca
Accés obertThe need for data privacy motivates the development of new methods that allow to protect data minimizing the disclosure risk without losing information. In this paper, we propose a new protection method for numerical data ... -
Process model comparison based on cophenetic distance
Sánchez Charles, David; Muntés Mulero, Víctor; Carmona Vargas, Josep; Solé, Marc (Springer, 2016)
Text en actes de congrés
Accés obertThe automated comparison of process models has received increasing attention in the last decade, due to the growing existence of process models and repositories, and the consequent need to assess similarities between the ... -
Semantic blocking for record linkage
Nin Guerrero, Jordi; Muntés Mulero, Víctor; Martínez Bazán, Norbert; Larriba Pey, Josep (IOS Press, 2007)
Text en actes de congrés
Accés restringit per política de l'editorialRecord Linkage (RL) is an important component of data cleaning and integration and data processing in general. For years, many efforts have focused on improving the performance of the RL process, either by reducing the ... -
Using genetic algorithms for attribute grouping in multivariate microaggregation
Balasch Masoliver, Jordi; Muntés Mulero, Víctor; Nin Guerrero, Jordi (2014-01-01)
Article
Accés obertAnonymization techniques that provide k-anonymity suffer from loss of quality when data dimensionality is high. Microaggregation techniques are not an exception. Given a set of records, attributes are grouped into ...