Visual Data Mining of Log Files

  • Guillermo III Francia
  • Monica Trifas
  • Dorothy Brown
  • Rahjimao Francia
  • Chrissy Scott
Conference paper


Data mining is based on a simple analogy. The growth of data warehousing has created mountains of data. The mountains represent a valuable resource to the enterprise. But to extract value from these mountains, we must “mine” for the gold in data warehouses and data marts. Everywhere that there are data warehouses, data mines are also constructed. Data visualization has the ability to present a great deal of information in a user friendly format. It is well known that humans comprehend visual information much quicker and more efficiently than verbal information. “A picture is worth a thousand words.” Successful visualizations can reduce the time it takes to get the information, make sense out of it, and enhance creative thinking. Great strides have been made in the area of computer generated data visualizations in recent years. This paper discusses visual data mining techniques for analyzing real forensic data.


Visual Representation Data Warehouse Information Visualization Silicon Graphic User Friendly Format 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer 2007

Authors and Affiliations

  • Guillermo III Francia
    • 1
  • Monica Trifas
    • 1
  • Dorothy Brown
    • 1
  • Rahjimao Francia
    • 1
  • Chrissy Scott
    • 1
  1. 1.Department of Mathematical, Computing and Information SciencesJacksonville State UniversityJacksonville

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