Kamber, M., Winstone, L., Gon, W., Han, J.: Generalization and Decision Tree Induction: Efficient Classification in Data Mining. In: RIDE 1997 (1997)Kamber M, Winstone L., Gong W., Cheng S., and Han J. Generalisation and Decision Tree Induction: Efficient Classification in Data ...
The problem of feature subset selection by decision tree induction is described. The quality of the learnt model is not only to be checked based on the overall accuracy, but also more specific measure are explained that describe the performance of the model in more detail. We present a new ...
Multi-Decision-Tree Induction. One widely used knowledge-discovery technique is a decision-tree inducer that generates classifiers in the form of a single decision tree. As the number of... N Chang,Sheng,OR Liu - 《Informs Journal on Computing》 被引量: 3发表: 2008年 Decision Tree-Based ...
Biological data mining with neural networks: implementation and application of a flexible decision tree extraction algorithm to genomic problem domains - S... In the past, neural networks have been viewed as classification and regression systems whose internal representations were extremely difficult to ...
Synonyms C4.5 ; CART ; Classification tree Definition A decision tree is a tree-structured classification model, which is easy to understand, even by nonexpert users, and can be efficiently induced from data. The induction of decision trees is one of the oldest and most popular techniques for...
Fuzzy decision tree using soft discretization and a genetic algorithm based feature selection method In data mining, decision tree learning is an approach that uses a decision tree as a predictive model mapping observations to conclusions. The fuzzy extens... C Min,SA Ludwig - Nature & Biologicall...
The ability to restructure a decision tree efficiently enables a variety of approaches to decision tree induction that would otherwise be prohibitively expensive. This report describes two such approaches, one being incremental tree induction, and the other being non-incremental tree induction using a ...
This paper describes the use of decision tree and rule induction in data mining applications. Of methods for classification and regression that have been d... C Apté,S Weiss - 《Future Generation Computer Systems》 被引量: 780发表: 1997年 Functional Trees In the context of classification prob...
This paper illustrates the application of evolutionary algorithms (EAs) to the problem of oblique decision-tree (DT) induction. The objectives are to demon... E Cantu-Paz,C Kamath - 《Evolutionary Computation IEEE Transactions on》 被引量: 320发表: 2003年 ...
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