Review Paper on Decision Tree Data Mining Algorithms to Improve Accuracy in Identifying Classified Instances using Large Dataset

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

Keywords

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Review Paper on Decision Tree Data Mining Algorithms to Improve Accuracy in Identifying Classified Instances using Large Dataset

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  • EP ID EP240273
  • DOI -
  • Views 71
  • Downloads 0

How To Cite

Gurpreet Singh, ER. Rajwinderkaur (2017). Review Paper on Decision Tree Data Mining Algorithms to Improve Accuracy in Identifying Classified Instances using Large Dataset. International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), 7(4), 67-70. https://europub.co.uk/articles/-A-240273