Decision Tree Analysis on J48 Algorithm for Data Mining
DOI:
https://doi.org/10.46243/jst.2022.v7.i05.pp200-205Keywords:
Data Mining, Classification Techniques, J48, Decision Trees, Univariate algorithm, Multivariate algorithm, PruningAbstract
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 getdepth 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.
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