Open AccessProceedings Article
Decision Tree Analysis on J48 Algorithm for Data Mining
TLDR
This research is focussed on J48 algorithm which is used to create Univariate Decision Trees and discusses about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node.Abstract:
The Data Mining is a technique to drill database for giving meaning to the approachable data. It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make predictions about new data. This research is focussed on J48 algorithm which is used to create Univariate Decision Trees. The research study also discuss about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node. The core concept behind the topic is to get depth knowledge with new areas of research by explore more about data, information, knowledge, data mining techniques, and tools. All the results with experiment on Weka are finally examined.read more
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References
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Journal ArticleDOI
Improved use of continuous attributes in C4.5
TL;DR: A reported weakness of C4.5 in domains with continuous attributes is addressed by modifying the formation and evaluation of tests on continuous attributes with an MDL-inspired penalty, leading to smaller decision trees with higher predictive accuracies.
Book
Data Mining with Decision Trees: Theory and Applications
Lior Rokach,Oded Maimon +1 more
TL;DR: This 2nd Edition is dedicated entirely to the field of decision trees in data mining; to cover all aspects of this important technique, as well as improved or new methods and techniques developed after the publication of the first edition.
Proceedings Article
Data Mining with Decision Trees.
Abstract: In this tutorial, we survey recent developments in learning tree-based models for classification and regression called predictor trees. The tutorial has three parts: (1) A general overview of tree-based classification and regression. (2) A survey of methods to construct predictor trees. (3) An overview of scalable data access methods to construct predictor trees from very large training databases.
Linear Machine Decision Trees
Paul E. Utgoff,Carla E. Brodley +1 more
TL;DR: An algorithm for inducing multiclass decision trees with multivariate tests at internal decision nodes with empirical results demonstrating that the algorithm builds small accurate trees across a variety of tasks.