• DocumentCode
    3657801
  • Title

    Data engineering for intelligent inference: Statistical data

  • Author

    Sakti P. Ghosh

  • Author_Institution
    Computer Science, IBM Almaden Research Center, San Jose, California, USA
  • fYear
    1987
  • Firstpage
    281
  • Lastpage
    281
  • Abstract
    Statistical processing of data has been around for a long time. In biblical times people were concerned with census data for tax collection purposes. The history of usage of statistics data prior to the eighteenth century is not well documented. In the eighteenth century mathematicians, like Pascal, when they invented probability theory, found the use of statistical data for estimating probabilities. The use of relative frequencies for estimating probabilities of events, can be considered as the first attempt of data engineering for intelligent inference. Of course, data engineering did not surface until the invention of computers, which was another two centuries later. In these two centuries Statistics developed as a science, specially in the later part of the nineteenth and the first half of the twentieth century. The age of computers followed the maturity of the science of statistics.
  • Keywords
    Manufacturing
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1987 IEEE Third International Conference on
  • Print_ISBN
    978-0-8186-0762-2
  • Type

    conf

  • DOI
    10.1109/ICDE.1987.7272385
  • Filename
    7272385