XGBoost Regression Algorithms for Efficient Predictions on Inventory Sales and Management
Author:
Affiliation:
1. University of Nottingham (Malaysia campus),School of Computer Science, Faculty of Science and Engineering,Selangor,Malaysia
2. Australian National University,College of Engineering, Computing and Cybernetic,Canberra,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10659853/10659823/10660130.pdf?arnumber=10660130
Reference16 articles.
1. Inventory management concepts and techniques
2. Correlation feature selection weighting algorithms for better support vector classification: An empirical study;Sim;Solid State Technol,2020
3. Extensive incorporation of k-nearest neighbor to support vector machine through correlation studies for a better classification;Sim;Test Eng. Management,2020
4. Support Vector Machine Pre-pruning Approaches on Decision Trees for Better Classification
5. XGBoost
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