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        FDR²-BD: A Fast Data Reduction Recommendation Tool for Tabular Big Data Classification Problems 

        Basgall, María; Naiouf, Marcelo; Fernández, Alberto (2021)

        Dimensionality reduction for visualization of normal and pathological speech data 

        Goddard, J.; Schlotthauer, Gaston; Torres, Maria Eugenia; Rufiner, Hugo Leonardo (Elsevier, 2009-07)
        For an adequate analysis of pathological speech signals, a sizeable number of parameters is required, such as those related to jitter, shimmer and noise content. Often this kind of high-dimensional signal representation ...

        On the effectiveness of user manipulation in multidimensional projections 

        Fadel, Samuel Gomes; Paulovich, Fernando Vieira (Sociedade Brasileira de Computação - SBCUniversidade Federal da Bahia - UFBASalvador, 2015-08)
        With the advent of interactive techniques for multidimensional data visualization using dimensionality reduction, new possibilities of dealing with data complexity were introduced. The idea behind those methods is to allow ...

        FDR2-BD: A fast data reduction recommendation tool for tabular big data classification problems 

        Basgall, María José; Naiouf, Ricardo Marcelo; Fernández, Alberto (Molecular Diversity Preservation International, 2021-08)
        In this paper, a methodological data condensation approach for reducing tabular big datasets in classification problems is presented, named FDR2-BD. The key of our proposal is to analyze data in a dual way (vertical and ...

        Data classification: Dimensionality reduction using combined and non-combined multidimensional projection techniques 

        Universidade Estadual Paulista (Unesp) (2018-12-13)
        Dimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality ...

        A Reliable Method to Reduce Observations and Variables 

        Colmenares L., Gerardo A.; Pérez, Rafael (SABER ULA, 2006)

        A Reliable Method to Reduce Observations and Variables 

        Colmenares L., Gerardo A.; Pérez, Rafael (SABER ULA, 2006)

        Processing time reduction: an application in living human high-resolution diffusion magnetic resonance imaging data. 

        Ibáñez, Agustín
        High Angular Resolution Diffusion Imaging (HARDI) is a type of brain imaging that collects a very large amount of data, and if many subjects are considered then it amounts to a big data framework (e.g., the human connectome ...

        LANGUAGE AND A PHYSICAL ORGANIZATION TECHNIQUE FOR SUMMARY TABLES. 

        Mata, Francisco; Ozsoyoglu, Gultekin; Ozsoyoglu, Zehra Meral (Proceedings of ACM-SIGMOD 1985 International Conference on Management of Data, 2004)
        A summary table is a tabular representation of summary data, and is a useful data structure for statistical databases. Primitive summary tables are basic building blocks of summary tables, and can be represented as relations ...

        Improvement of nitrate and nitrite reduction rates prediction 

        Estuardo,Carolina; Martí,M. Cristina; Huiliñir,César; Aspé Lillo,Estrella; Roeckel von Bennewitz,Marlene (Pontificia Universidad Católica de Valparaíso, 2008)
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        Red de Repositorios Latinoamericanos
        + of 7.000.000
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        400 Participating institutions
        Dirección de Servicios de Información y Bibliotecas (SISIB)
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        Dirección de Servicios de Información y Bibliotecas (SISIB)
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