@InProceedings{RezendeStepPaul:2007:DaMiAp,
               author = "Rezende, Luiz Felipe de Campos and Stephany, Stephan and Paula, 
                         Eurico Rodrigues de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Data mining applied to the analysis of the ionospheric 
                         scintillation",
            booktitle = "Proceedings...",
                 year = "2007",
         organization = "Latin-American Conference on Space Geophysics, 8. (COLAGE).",
             abstract = "Irregularly structured ionospheric regions may cause diffraction 
                         and scattering of radio signals in both amplitude and phase. This 
                         phenomenon is known as ionospheric scintillation. The above 
                         mentioned plasma structures occur as part of depleted plasma 
                         density regions that are generated at the magnetic equator after 
                         sunset by plasma instability mechanism of the equatorial 
                         ionosphere. These irregularities are also known as ionospheric 
                         bubbles that are magnetic field aligned and move upward and 
                         extending to low latitudes. They also drift eastward. In general, 
                         telecommunications systems and Global Navigation Satellite Systems 
                         such as the Global Positioning System (GPS) are affected, 
                         presenting scintillations. The aim of this work is to develop 
                         method for predicting these irregularities using Data Mining 
                         techniques based on a Neural Network algorithm. Data Mining can be 
                         defined as the process of extraction of hidden, previously 
                         unknown, and potentially useful high-level information from 
                         low-level data. In order to analyze occurrences of ionospheric 
                         bubbles, we look for correlations between the S4 index that 
                         quantifies the intensity of the scintillation and other parameters 
                         such as TEC (Total Electron Content of the ionosphere), latitude, 
                         season, level of solar activity and vertical drift velocity of the 
                         plasma in the magnetic equator.",
  conference-location = "Merida, Mexico",
      conference-year = "11-17 July",
             language = "en",
           targetfile = "rezende_data.pdf",
        urlaccessdate = "13 maio 2024"
}