Hunt’s algorithmTop-down inductionDesign componentsDecision-tree induction algorithms are highly used in a variety of domains for knowledge discovery and pattern recognition. They have the advantage of producing a comprehensible classification/regression model and satisfactory accuracy levels in several ...
11. Bhukya DP, Ramachandram S. Decision tree induction-an approach for data classification using AVL–Tree.Int J Comp d Electrical Engineering.2010;2(4): 660–665. doi: 10.7763/IJCEE.2010.V2.208. [CrossRef] [Google Scholar] 12. Lin N, Noe D, He X. Tree-based methods and their appl...
In this work, we have introduced a decision tree induction algorithm, called DTFS, which uses a fast splitting attribute selection for expanding nodes. Our algorithm does not require to store the whole training set in memory and processes all the instances in the training set. The key insight ...
In this paper we describe a basic algorithm for learning decision trees called Decision Tree Induction. During tree construction, attribute selection measures are used to select the attribute that best partitions the tuples into distinct classes. Popular measures of attribute selection are given. When...
A NEW DECISION TREE INDUCTION ALGORITHM BASED ON ATTRIBUTE-VALUE PAIRS The decision tree induction algorithm ID 3 is representative among the learning from examples algorithms, but it is liable to select the attributes with mo... M Guo - 《Mini-micro Systems》 被引量: 38发表: 2001年 A mass...
EVO-Tree utilizes evolutionary algorithm based training procedure which processes population of possible tree structures decoded in the form of tree-like chromosomes. Training process aims at minimizing objective functions with two components: misclassification rate and tree size. We test the predictive ...
This report describes two such approaches, one being incremental tree induction, and the other being non-incremental tree induction using a measure of tree quality instead of test quality. The algorithm ITI for incremental tree induction includes several significant advances from its predecessor ID5R,...
This paper presents a new look-ahead heuristics for decision-tree induction. The proposed method is called look-ahead J48 (LA-J48) as it is based on J48, the Weka implementation of the popular C4.5 algorithm. At each tree node, the LA-J48 algorithm applies the look-ahead procedure of ...
To an extent, Holte questioned the sense of further research on multilevel decision tree learning. We ... T Elomaa - 《Machine Learning Proceedings》 被引量: 48发表: 1994年 Global learning of decision trees by an evolutionary algorithm In the paper, an evolutionary algorithm for global ...
Nowadays, there are many classification techniques being used to solve classification problems such as Neural Network, Genetic Algorithm, Bayesian and others. In this article, we attempt to present a study on how talent management can be implemented using Decision Tree Induction techniques. By using ...