The advantages of decision tree induction over other data mining techniques are its simple structure, ease of comprehension, and the ability to handle both numerical and categorical data. For numerical data with continuous values, the tree building algorithm simply compares the values to some constant...
Section 8.2.5 presents a visual mining approach to decision tree induction. 8.2.1 Decision Tree Induction During the late 1970s and early 1980s, J. Ross Quinlan, a researcher in machine learning, developed a decision tree algorithm known as ID3 (Iterative Dichotomiser). This work expanded ...
Mantovani RG, Horváth T, Cerri R et al (2016) Hyper-parameter tuning of a decision tree induction algorithm. In: 5th Brazilian conference on intelligent systems, BRACIS 2016, Recife, Brazil, October 9–12, 2016. IEEE Computer Society, pp 37–42. https://doi.org/10.1109/BRACIS.2016.018 ...
This paper describes the use of decision tree and rule induction in data-mining applications. Of methods for classification and regression that have been developed in the fields of pattern recognition, statistics, and machine learning, these are of particular interest for data mining since they utili...
Decision trees are a family of algorithms that use a treelike structure to mimic humans’ decision-making process. This chapter presents knowledge that is needed to understand and practice decision trees. We will first focus on the basics of decision tre
algorithmaregiveninSection7.3.4.Scalabilityissuesfortheinductionofdecisiontreesfrom largedatabasesarediscussedinSection7.3.5.Section7.3.6describestheintegrationofdecision treeinductionwithdatawarehousingfacilities,suchastheintegrationofdecisiontreeinduction withdatawarehousingfacilities,suchasdatacubes,allowingtheminingofdec...
tree induction algorithm is then executed over a meta-test set, which estimates its performance in unseen data. full size image split genes these genes are used for selecting the attribute to split the data in the current node of the decision tree. a decision rule based on the selected ...
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