• DocumentCode
    1696887
  • Title

    Project Triage; Methodology for profiling (behaviour / cause & effect) using a context matrix built though the integration of both characteristics and key performance indicators to create a profile sequence for a search structure within data minin

  • Author

    Nolan, Anthony ; Nolan, Emily

  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Triage stands for targeting - relativity - intervals - analytics - grouping - explorer. the concept was to develop a data transformation methodology, which did not have the data sensitivities and limitations of parametric statistics like skewness and kurtosis. To account for the complexities of multi characteristic data, an end product was produced for traditional data mining and analytics applications. The result of the process was an output of multiple scores for each observation, based on their specific membership of each subpopulation, which is turned measurements to be used as a training set for pattern selection.
  • Keywords
    data analysis; data mining; matrix algebra; Project Triage; context matrix; data analytics; data mining; data transformation methodology; multicharacteristic data; search structure; targeting-relativity-intervals-analytics-grouping-explorer; Australia; Data analysis; Data mining; Fertilizers; Fuzzy logic; Irrigation; Moisture control; Power supplies; Water storage; Weather forecasting; Analytics; Context Matrixes; Data Mining; Data Transformations; Fuzzy Logic; Relativity; Weather Patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4699062