Listar FRCU - GIBD : Grupo de Investigación en Bases de Datos por autor "Rottoli, Giovanni Daián"

Mostrando ítems 1-5 de 5

  • Co-location rules discovery process focused on reference spatial features using decision tree learning 

    Rottoli, Giovanni Daián; Merlino, Hernán Daniel; García Martínez, Ramón (2017)
    The co-location discovery process serves to find subsets of spatial features frequently located together. Many algorithms and methods have been designed in recent years; however, finding this kind of patterns around specific ...

  • Descubrimiento de conocimiento en bases de datos 

    Ramos, Lautaro Martín Miguel; Rivera, Ramiro Adolfo; Richard, Cristhian Pablo; Cristaldo, Patricia Raquel; Nuñez, Juan Pablo; Rottoli, Giovanni Daián; Ríos, Juan Manuel; Retamar, María Soledad; Casanova Pietroboni, Carlos Antonio; De Battista, Anabella Cecilia; Cagnina, Leticia; Herrera, Norma Edith; Schab, Esteban Alejandro (Universidad Nacional de San Juan, 2019-04-26)
    En la actualidad se generan diariamente grandes cantidades de datos de diversos tipos (e.g. textos, imágenes, audios y videos) generando nuevas fuentes de información que pueden ser aprovechadas para agregar valor al ...

  • Enfoques de optimización multi-objetivo basados en preferencias en la ingeniería de software 

    Arrúa, Martín Nahuel; Bracco, Luciano Joaquín; Rottoli, Giovanni Daián; Schab, Esteban Alejandro; Tournoud, Adrián Alberto; Casanova Pietroboni, Carlos Antonio; De Battista, Anabella Cecilia (2018-07-03)
    La Ingeniería de Software Basada en Búsqueda (ISBB) estudia la aplicación de técnicas de optimización metaheurística a problemas de la Ingeniería de Software (IS). Una vez que una tarea de la IS se enmarca en un problema ...

  • Knowledge discovery process for description of spatially referenced clusters 

    Rottoli, Giovanni Daián; Merlino, Hernán Daniel; García Martínez, Ramón (2017)
    Spatial clustering is an important field of spatial data mining and knowledge discovery that serves to partition a spatial data set to obtain disjoint subsets with spatial elements that are similar to each other. Existing ...

  • Knowledge discovery process for detection of spatial outliers 

    Rottoli, Giovanni Daián; Merlino, Hernán Daniel; García Martínez, Ramón (2018)
    Detection of spatial outliers is a spatial data mining task aimed at discovering data observations that differ from other data observations within its spatial neighborhood. Some considerations that depend on the problem ...