Recent Submissions

  • Performing OLAP over graph data: query language, implementation, and a case study 

    Gómez, Leticia; Kuijpers, Bart; Vaisman, Alejandro (2017)
    "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 ...
  • Methods and frameworks for sampling 𝒢I0 data 

    Chan, Debora; Rey, Andrea; Gambini, Juliana; Cassetti, Julia; Frery, Alejandro C. (2017-12)
    The 𝒢I0 distribution is a competitive tool for SAR image description. This distribution is useful for describing speckled imagery because it models adequately areas with different degrees of texture. Data simulation is ...
  • Modeling industrial business processes for querying and retrieving using OWL+SWRL 

    Roy, Suman; Silvatici Dayan, Gabriel; Devaraja Holla, V. (2018-10)
    "Process modeling forms a core activity in many organizations in which different entities and stakeholders interact for smooth operation and management of enterprises. There have been few work on semantically labeling ...
  • On the effect of object redundancy elimination in randomly testing collection classes 

    Ponzio, Pablo; Bengolea, Valeria; Gutiérrez Brida, Simón; Scilingo, Gastón; Aguirre, Nazareno; Frías, Marcelo (2018-05)
    "In this paper, we analyze the effect of reducing object redundancy in random testing, by comparing the Randoop random testing tool with a version of the tool that disregards tests that only produce objects that have been ...
  • Outliers resistant methods for motor imagery classification 

    Villar, Ana Julia (2018)
    "Common spatial patterns analysis (CSP) and linear discriminant analysis (LDA) are widely used techniques for spatial filtering and classifying in motor imagery (MI). However, CSP is very sensitive to noise and artifacts. ...
  • From operational to declarative specifications using a genetic algorithm 

    Molina, Facundo; Degiovanni, Renzo; Regis, Germán; Castro, Pablo; Aguirre, Nazareno; Frías, Marcelo (2018-05)
    "In specification-based test generation, sometimes having a formal specification is not sufficient, since the specification may be in a different formalism from that required by the generation approach being used. In this ...
  • Data quality in a big data context 

    Arolfo, Franco A.; Vaisman, Alejandro Ariel (2018)
    "In each of the phases of a Big Data analysis process, data quality (DQ) plays a key role. Given the particular characteristics of the data at hand, the traditional DQ methods used for relational databases, based on quality ...
  • Fusion of magnetic and WiFi fingerprints for indoor positioning 

    Grisales Campeón, Juan Pablo; López, Sebastián; de Jesús Meleán, Sergio R.; Moldovan, Horatiu; Parisi, Daniel R.; Fierens, Pablo Ignacio (2018)
    "WiFi received signal strength (RSS) and magnetic field intensity are common measures for indoor localization because they are readily available on most mobile devices. There is a vast literature on smartphone positioning ...
  • Learning life cycle in autonomous intelligent systems 

    Ierache, Jorge; García-Martínez, Ramón; De Giusti, Armando (2008)
    "Autonomous Intelligent Systems (AIS) integrate planning, learning, and execution in a closed loop, showing an autonomous intelligent behavior. A Learning Life Cycle (LLC) Operators, Trained Base Operators and World ...
  • RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases 

    Gómez, Leticia Irene; Vaisman, Alejandro Ariel (2008)
    "In sequential pattern mining, languages based on regular expressions (RE) were proposed to restrict frequent sequences to the ones that satisfy user-specified constraints. In these languages, REs are applied over items. ...
  • Aggregation languages for moving object and places of interest 

    Gómez, Leticia Irene; Kuijpers, Bart; Vaisman, Alejandro Ariel (2008)
    "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, ...
  • Prediction in health domain using Bayesian networks optimization based on induction learning techniques 

    Felgaer, Pablo; Britos, Paola Verónica; García Martínez, Ramón (2006)
    "A Bayesian network is a directed acyclic graph in which each node represents a variable and each arc a probabilistic dependency; they are used to provide: a compact form to represent the knowledge and exible methods of ...
  • Optimizing relationships information in repertory grids 

    Calot, Enrique; Britos, Paola Verónica; García Martínez, Ramón (2008)
    "The Repertory Grid method is widely used in knowledge engineering to infer functional relationships between constructs given by an expert. The method is ignoring information that could be used to infer more precise ...
  • Requirements elicitation in data mining for business intelligence projects 

    Britos, Paola Verónica; Dieste, Oscar; García Martínez, Ramón (2008)
    "There are data mining methodologies for business intelligence (DM-BI) projects that highlight the importance of planning an ordered, documented, consistent and traceable requirement’s elicitation throughout the entire ...
  • Work in progress: programming misunderstandings discovering process based on intelligent data mining tools 

    Britos, Paola Verónica; Jiménez Rey, Elizabeth; Rodríguez, Darío; García Martínez, Ramón (2008)
    "We present research work in progress that focuses on data mining tools used for helping teachers to apply a three step knowledge discovering process to diagnose students’ misunderstandings (and their causes) related to ...
  • Pedagogical Protocols Selection Automatic Assistance 

    Britos, Paola Verónica; Cataldi, Zulma; Sierra, Enrique; García Martínez, Ramón (2008)
    "The preliminary results presented in this paper corresponds to a research project oriented to the search of the relationship between the predilection of students concerning learning style and the pedagogical protocols ...
  • Conceptualization maturity metrics for expert systems 

    Britos, Paola Verónica; García-Martínez, Ramón; Hauge, Ødwin (2006)
    “Metrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the ...
  • Detection of breast lesions in medical digital imaging using neural networks 

    Ferrero, Gustavo; Britos, Paola Verónica; García Martínez, Ramón (2006)
    "The purpose of this article is to present an experimental application for the detection of possible breast lesions by means of neural networks in medical digital imaging. This application broadens the scope of research ...
  • Patterns in temporal series of meteorological variables using SOM & TDIDT 

    Cogliati, Marisa; Britos, Paola Verónica; García Martínez, Ramón (2006)
    "The purpose of the present article is to investigate if there exist any such set of temporal stable patterns in temporal series of meteorological variables studying series of air temperature, wind speed and direction an ...
  • Identification of velocity variations in a seismic cube using neural networks 

    Cersósimo, Darío Sergio; Ravazoli, Claudia; García Martínez, Ramón (2006)
    "This research allow to infer that from seismic section and well data it is possible to determine velocity anomalies variations in layers with thicknesses below to the seismic resolution using neuronal networks."

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