0.doc

Package:      areas/learning/systems/learn_pl/idt/

Name:         IDT

Summary:      Torgos ID3-like system based on the gain-ratio measure

Version:      9-FEB-94

Description: 

   This directory contains IDT, Luis Torgo's ID3-like program for
   induction of decision trees based on the gain-ratio measure.

Requires:     Prolog

Ports:        The algorithm is written in Edinburgh Prolog syntax. 

Origin:       ftp.gmd.de:/gmd/mlt/ML-Program-Library/ [129.26.8.84]

Copying:      Copyright (c) 1989 Luis Torgo
              GNU GPL v1.

Updated:      

CD-ROM:       Prime Time Freeware for AI, Issue 1-1

Bug Reports:  

Mailing List: 

Author(s):    Luis Torgo
              Laboratorio Inteligencia Artificial e Ciencas de Computacao, 
              Universidade do Porto, 
              Rua Campo Alegre 823, 
              4100 Porto, 
              Portugal 

              Thomas Hoppe

Contact:      Thomas Hoppe <hoppet@cs.tu-berlin.de> (Machine Learning Library)
              Projektgruppe KIT
              Technische Universitaet Berlin
              Franklinstr. 28/29,
              10629 Berlin, Germany. 

              Werner Emde <emde@gmd.de> (ftp library)
              Gesellschaft fuer Mathematik und Datenverarbeitung, Bonn

Keywords:     

   Machine Learning, Prolog!Code, GNU GPL, IDT, ID3, Authors!Torgo,
   Authors!Hoppe, Induction, Decision Trees

Contains:    ???

See Also:    

References:   
                                                                
   Quinlan, J. R., "Learning Efficient Classification Procedures and
   Their Application to Chess End Games", in: Machine Learning,
   Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.), Tioga
   Publishing Company, Palo Alto, 1983.

   J. Ross Quinlan, "Induction of Decision Trees", Machine Learning
   1(1):81-106, 1986