C 5 . 1 . 3 Decision Tree Discovery

Geospatial Data Ming and Knowledge Discovery Using Decision Tree Algorithm—a Case Study of Soil Data Set of the Yellow River Delta

Copyright  1999 The Association of Chinese Professionals in GIS Abroad Geoinformatics and Socioinformatics 151 Hilgard Hall, University of California, Berkeley, CA 94720-3110, USA The Proceedings of Geoinformatics'99 Conference All rights reserved. ISBN 0-9651441-3-5 Ann Arbor, 19-21 June, 1999, pp. 1-8 Printed in Ann Arbor, Michigan GEOSPATIAL DATA MING AND KNOWLEDGE DISCOVERY USING DECISION ...

TREE AUTOMATA BASED ON COMPLETE RESIDUATED LATTICE-VALUED LOGIC: REDUCTION ALGORITHM AND DECISION PROBLEMS

In this paper, at first we define the concepts of response function and accessible states of a complete residuated lattice-valued (for simplicity we write $mathcal{L}$-valued) tree automaton with a threshold $c.$ Then, related to these concepts, we prove some lemmas and theorems that are applied in considering some decision problems such as finiteness-value and emptiness-value of recognizable t...

X iv : c s . C C / 0 50 80 71 v 1 1 6 A ug 2 00 5 Every decision tree has an influential variable

We prove that for any decision tree calculating a boolean function f : {−1, 1}n → {−1, 1},

Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees

C / 0 50 80 71 v 1 1 6 A ug 2 00 5 Every decision tree has an influential variable

We prove that for any decision tree calculating a boolean function f : {−1, 1}n → {−1, 1},