Review Paper on Decision Tree Data Mining Algorithms to Improve Accuracy in Identifying Classified Instances using Large Dataset
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2017, Vol 7, Issue 4
Abstract
The CART distance based algorithm with the classification tree paradigm based on the C45 algorithm. The CART algorithm is used as a preprocessing algorithm in order to obtain a modified training database for the posterior learning of the classification tree structure. Then the incorrectly classified instances are duplicated with the previous data set and finally C45 is applied to complete the classification procedure of biomedical data.
Authors and Affiliations
Gurpreet Singh, ER. Rajwinderkaur
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Review Paper on Decision Tree Data Mining Algorithms to Improve Accuracy in Identifying Classified Instances using Large Dataset
The CART distance based algorithm with the classification tree paradigm based on the C45 algorithm. The CART algorithm is used as a preprocessing algorithm in order to obtain a modified training database for the posterio...
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