Examinando por Materia "BASES DE DATOS"

Mostrando1 - 10 de 10
  • Ponencia en Congreso
    Aggregation languages for moving object and places of interest
    (2008) Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel
    "We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language to express complex aggregate queries. Next, we study the compression of trajectory data, produced by moving objects, using the notions of stops and moves. We show that stops and moves are expressible in our query language and we consider a fragment of this language, consisting of regular expressions to talk about temporally ordered sequences of stops and moves. This fragment can be used not only for querying, but also for expressing data mining and pattern matching tasks over trajectory data."
  • Trabajo final de especialización
    Aplicación de aprendizaje supervisado para clasificación de tiempos no productivos de perforación & workover
    (2019) Arca, Fabio Andrés; Soliani, Valeria
    "La información de la base de datos de perforación & workover describe la actividad operativa que se realiza en los eventos de perforar, completar, reparar y mantener los pozos de gas y petróleo. Durante el desarrollo de las actividades descriptas previamente los Tiempos No Productivos de las operaciones son clasificadas en seis clases predefinidas. Con posterioridad, al leer las descripciones que acompañan a la clasificación realizada, se presentan dudas sobre su correcta asignación. En este trabajo se utilizan técnicas de aprendizaje supervisado para clasificar los Tiempos No productivos, determinando aquellos casos en los cuales existen diferencias con la clasificación originalmente asignada. Los no coincidentes deben ser enviados para su revisión con la finalidad de mejorar la calidad de información con la cual se toman decisiones. En una primera aproximación se implementa un algoritmo clasificador base y, para mejorar los resultados obtenidos, se genera un clasificador de múltiples algoritmos incorporado otros campos de información existente. Como resultado se obtiene una precisión general del 86%. En particular las precisiones obtenidas para las clases son del 98%, 90%, 88%, 83%, 75% y 74%."
  • Proyecto final de Grado
    Cryptobot: creación de base de datos y estudio de series temporales de criptomonedas
    (2019-12-18) Oviedo Candelaresi, Fernán Darío; Fratoni, Axel; Parisi, Daniel
    "Existe una plataforma de intercambio de criptomonedas llamada HitBTC que provee una API para interactuar con los mercados. El objetivo de este trabajo fue desarrollar un sistema de software que permitiera recabar información del mercado de forma automática a lo largo del tiempo, analizar esta información para caracterizar el comportamiento del mercado e implementar estrategias de decisión automática para ejecutar operaciones de compraventa."
  • Artículo de Publicación Periódica
    A data model and query language for spatio-temporal decision support
    (2010) Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel
    "In recent years, applications aimed at exploring and analyzing spatial data have emerged, powered by the increasing need of software that integrates Geographic Information Systems(GIS) and On-Line Analytical Processing (OLAP). These applications have been called SOLAP (Spatial OLAP). In previous work, the authors have introduced Piet, a system based on a formal data model that integrates in a single framework GIS, OLAP (On-Line Analytical Processing), and Moving Object data. Real-world problems are inherently spatio-temporal. Thus, in this paper we present a data model that extends Piet, allowing tracking the history of spatial data in the GIS layers. We present a formal study of the two typical ways of intro ducing time into Piet: timestamping the thematic layers in the GIS, and timestamping the spatial objects in each layer. We denote these strategies snapshot-based and timestamp-based representations, respectively, following well-known terminology borrowed from temporal databases. We present and discuss the formal model for both alternatives. Based on the timestamp-based representation, we introduce a formal First-Order spatio-temporal query language, which we denote Lt, able to express spatio-temporal queries over GIS, OLAP, and trajectory data. Finally, we discuss implementation issues, the update operators that must be supported by the model, and sketch a temporal extension to Piet-QL, the SQL-like query language that supports Piet."
  • Trabajo final de especialización
    Detección de indicadores en análisis clínicos de laboratorio
    (2020) Zaballa, Sebastián Rodrigo; Rossi, Mario
    "El objetivo del presente trabajo consiste en elaborar una base de datos con los estudios de laboratorio realizados en el Hospital Italiano de Buenos Aires, parametrizada y libre de errores."
  • Ponencia en Congreso
    Performing OLAP over graph data: query language, implementation, and a case study
    (2017-08) Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel
    "In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP operations and models can expand the possibilities of graph analysis beyond the traditional graph-based computation. In spite of this, there is not much work on the problem of taking OLAP analysis to the graph data model. In previous work we proposed a multidimensional (MD) data model for graph analysis, that considers not only the basic graph data, but background information in the form of dimension hierarchies as well. The graphs in our model are node- and edge-labelled directed multi-hypergraphs, called graphoids, defined at several different levels of granularity. In this paper we show how we implemented this proposal over the widely used Neo4J graph database, discuss implementation issues, and present a detailed case study to show how OLAP operations can be used on graphs."
  • Proyecto final de Grado
    Segmentación estadística de una base de datos financiera
    (2012) Decia, Martín; Bonoli, Mariano F.
    "Este trabajo tiene por finalidad un análisis estadístico de una cartera de clientes de una entidad financiera en Argentina. A partir del relevamiento sobre el marco conceptual, legal y antecedentes en mercados financieros, se procede a desarrollar cada una de las etapas del proceso estadístico a través de un software y una metodología de combinar algoritmos de segmentación. Se destacan las variables de comportamiento y posiciones de cada uno de los conglomerados resultantes y sus respectivos beneficios. Luego, considerando también modelos de experiencias nacionales e internacionales, se establecen los lineamientos estratégicos de desarrollo futuro".
  • Proyecto final de Grado
    THULIUM: DB evaluation web app
    (2019-07-10) Goffan, Martín Alexis; Horvat, Eric Nahuel; Pascale, Juan Martín; Soliani, Valeria
    "Los motores de base de datos son una herramienta indispensable en el desarrollo de cualquier sistema informático. Por otro lado, las instituciones educativas recaen en sistemas LMS (Learning Management System) para la gestión de su operatoria diaria. En este trabajo proponemos crear una plataforma que ofrezca facilidades en cuanto al uso de motores de base de datos mediante una aplicación web que se conecta con un sistema LMS para extender sus funcionalidades."
  • Artículo de Publicación Periódica
    Time-series-based queries on stable transportation networks equipped with sensors
    (2021) Bollen, Erik; Hendrix, Rik; Kuijpers, Bart; Vaisman, Alejandro Ariel
    "In this paper, we propose a formalism to query transportation networks that are equipped with sensors that produce time-series data. The core of the proposed query mechanism is a logic based language that is capable to return time, value, and time-series outputs, as well as Boolean queries. We can also use the language for node selection and path selection. Furthermore, we propose an implementation of this language in a graph database system and evaluate its working on a fragment of the Flemish river system that is equipped with sensors that measure the water height at regular moments in time."
  • Ponencia en Congreso
    Trajectory sequential patterns with regular expression constraints including spatial queries
    (2010-05) Gardella, Pablo; Gómez, Leticia Irene; Vaisman, Alejandro Ariel
    "Moving object (MO) data representation and computing have received a fair share of attention over recent years from the database community. Replacing raw trajectory data (i.e., MO positions at different time instants) by sequences of application-dependent stops occurred at so-called places of interest (Pols) leads to the notion of semantic trajectories. Different techniques exist for sequential pattern analysis of trajectories defined in this way. One of them, RE-SPaM, expresses sequential patterns by means of regular expressions built not only over item identifiers, but also over constraints defined on the (temporal and non-temporal) attributes of the items to be analyzed. This analysis could be greatly enriched if spatial and non-spatial data associated with the MO are taken into account. In this paper we show how we can take advantage of the extensibility properties of RE-SPaM to augment its expressive power by allowing to include spatial queries in the constraints. For this, we make use of Piet, a framework allowing to integrate OLAP, GIS and MO data, and its associated query language denoted Piet-QL, providing a link between moving object data and their geographic environment."