Real-world data modeling

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Mark Kotanchek",
  title =        "Real-world data modeling",
  booktitle =    "GECCO 2012 Specialized techniques and applications
  year =         "2012",
  editor =       "Gabriela Ochoa",
  isbn13 =       "978-1-4503-1178-6",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1349--1378",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330784.2330944",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Capturing the value in real-world data requires more
                 than fitting trivial models or visually exploring the
                 data. Rather, we must efficiently isolate driving
                 variables, confirm or reject potential outliers and
                 build models which are both accurate and trustable.
                 Fortunately, multi-objective genetic programming (aka,
                 ParetoGP) allows us to achieve this objective. ParetoGP
                 will be the foundation technology in this tutorial;
                 however, we will address the entire modeling process
                 including data balancing, outlier detection and model
                 usage/exploitation as well as the model development. In
                 addition to covering the basic theory of ParetoGP, we
                 explore key points using real-world industrial data
                 modeling case studies as well as review best practices
                 of industrial data modeling. Current economic
                 conditions demand maximum efficiency in developing and
                 exploiting maximal quality models; ParetoGP has been
                 used for applications ranging from energy trading to
                 active design-of-experiments to plant trouble-shooting
                 to patent litigation modeling to ...",
  notes =        "Also known as \cite{2330944} Distributed at

                 ACM Order Number 910122.",

Genetic Programming entries for Mark Kotanchek