To Ameliorate Classification Accuracy using Ensemble Distributed Decision Tree (DDT) Vote Approach: An Empirical discourse of Geographical Data Mining-Reference-Cited by-同舟云学术

To Ameliorate Classification Accuracy using Ensemble Distributed Decision Tree (DDT) Vote Approach: An Empirical discourse of Geographical Data Mining

Published:2021 Issue: Volume:184 Page:935-940
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Fayaz Sheikh Amir,Zaman Majid,Butt Muheet Ahmed

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. "How Machine Learning is Redefining Geographical Science: A Review of Literature";International Journal of Emerging Technologies and Innovative Research,2019

2. Assessment Model based Data Warehouse: A Qualitative Approach;Butt;International Journal of Computer Applications,2013

3. "Automatic ´ detection and segmentation of brain tumor using random forest approach";Kapas,2016

4. Data mining with decision trees: theory and applications;Rokach,2008

5. An Intelligent Prediction System for Educational Data Mining Based on Ensemble and Filtering approaches;Ashraf;Procedia Computer Science,2020

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