Computer supported knowledge discovery - A case study in flow resistance induced by vegetation

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{babovic:1999:cskd-veg,
  author =       "Vladan Babovic and Maarten Keijzer",
  title =        "Computer supported knowledge discovery - A case study
                 in flow resistance induced by vegetation",
  booktitle =    "Proceedings of the XXVIII Congress of International
                 Association for Hydraulic Research",
  year =         "1999",
  address =      "Graz, Austria",
  month =        "22-27 " # aug,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.iahr.org/membersonly/grazproceedings99/pdf/C021.pdf",
  size =         "7 pages",
  abstract =     "Data Mining and Knowledge Discovery aims at providing
                 tools to facilitate the conversion of data to a better
                 understanding of processes that generated or produced
                 those data. We call this the mining of data for
                 knowledge. Data mining extracts patterns from data. It
                 creates models from data, by using for example, genetic
                 programming, polynomial or artificial neural networks,
                 or even support vector machines. These new models,
                 combined with the understanding of the physical
                 processes - the theory - can result in an improved
                 understanding and novel formulations of physical laws
                 and an improved predictive capability.

                 The present paper describes some of the very first
                 efforts under the D2K (Data to Knowledge) Research
                 Project currently conducted at Danish Hydraulic
                 Institute with a support from the Danish Technical
                 Research Council (STVF). The paper firstly outlines
                 elementary data mining principles, particularly when
                 applied to analysis of scientific data. In the second
                 half of the contribution, results obtained through
                 analysis of the data related to the additional
                 resistance to the flow induced by flexible vegetation
                 are presented. The data are analysed by the means of
                 genetic programming (GP). Induced formulations and
                 discussed in terms of accuracy and physical
                 interpretability.",
}

Genetic Programming entries for Vladan Babovic Maarten Keijzer

Citations