Knowledge based phylogenetic classification mining

  • Authors:
  • Isabelle Bichindaritz;Stephen Potter;Société Française de Systématique

  • Affiliations:
  • University of Washington, Tacoma, WA;University of Aberdeen, Aberdeen, Scotland, UK;Museum National d’Histoire Naturelle, Paris, France

  • Venue:
  • ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
  • Year:
  • 2004

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Abstract

Phylsyst is an intelligent system that mines phylogenetic classifications. Its idea stems from the work of phylogeneticists of the Société Française de Systématique and proposes to test an innovative method for inferring phylogenetic classifications. The main idea in Phylsyst is to represent the reasoning of an expert phylogeneticist constructing a cladogram following Hennig principles. Several methods of artificial intelligence concur to Phylsyst’s efficient implementation of a phylogeneticist expert reasoning, the main one being data mining. Although phylogenetic tree mining has been little addressed in the data mining community, we hypothesize that this community has much to contribute to the worldwide efforts worldwide to Assemble the Tree Of Life. Phylsyst is such an attempt, and has been successfully distributed worldwide as a digital supplement to a special issue of Biosystema journal.