Utgoff, P.: An improved algorithm for incremental induction of decision trees. In: Proc. of the Eleventh Int. Conf. on Machine Learning, Morgan Kaufmann (1994)Utgoff, P. E.: An improved algorithm for incremental
Quinlan, J.R.: Induction of decision trees. Machine Learning 1(1), 81–106 (1986) Google Scholar Clark, P., Niblett, T.: The cn2 induction algorithm. Machine Learning 3 (1989) Google Scholar Michalski, R.S.: A theory and methodology of inductive learning. Artif. Intell. 20(2),...
Induction of decision rules within the dominance–based rough set approach to the multicriteria and multiattribute classification is considered. Within this framework, we discuss two algorithms: Glance and an extended version of AllRules. The important characteristics of Glance is that it induces the ...
Healthcare data are well-known to be imbalanced in the data distribution of target classes where the samples of interest are much fewer than the ordinary samples. When it comes to healthcare data classification, insufficient supervised training in decision tree induction is prone to happen, leading...
By induction on the length of u this yields the statement of the lemma. □ Thus, whenever convenient, we assume in the sequel that a reader is in normal form. When designing readers, it is useful to be able to make some basic assumptions about the order of the words in the input...
incremental inductionapproximationasymptotic analysisheuristicThis paper addresses stability issues in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillations between similar concepts decrease learning speed. We review a...
learning (artificial intelligence)/ decision treeslocal anarchyincremental learningstabilityincremental inductionheuristic/ C6170K Knowledge engineering techniques C1230L Learning in AIThis work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm ...
Decision treesheuristicincremental inductionThis paper addresses stability issues in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillations between similar concepts decrease learning speed. We review a heuristic that...
There have been several symbolic inductive learning methods such as induction of decision trees and rule induction methods. These methods are applied to discover meaningful knowledge from large databases, and their usefulness is in some aspects ensured. However, most of the approaches induces rules ...
Induction of decision trees. Machine Learning, 1:81–106, 1986. Google Scholar R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufman, 1992. ISBN: 1558602380. Google Scholar R. Rymon. An SE-tree based characterization of the induction problem. In International Conference on ...