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AUTOMATED IDENTIFICATION IN SYSTEMATICS
Author(s) -
Pankhurst R. J.
Publication year - 1974
Publication title -
taxon
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 81
eISSN - 1996-8175
pISSN - 0040-0262
DOI - 10.2307/1218088
Subject(s) - systematics , identification (biology) , bayes' theorem , computer science , matching (statistics) , cover (algebra) , probabilistic logic , artificial intelligence , pattern recognition (psychology) , bayesian probability , data mining , biology , taxonomy (biology) , mathematics , statistics , ecology , engineering , mechanical engineering
Summary The state of the art in identification of biological specimens by computer is reviewed. Current methods cover construction of diagnostic keys, matching or comparison methods, and probabilistic methods related to Bayes' theorem. There are also methods for reducing the number of characters that need to be used. The methods are compared and actual and possible progress is discussed.