Research on Case Knowledge Matching Based on K-means Cluster and Random Forest
Author:
Affiliation:
1. Zhengzhou University,School of Management,Zhengzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10303003/10303015/10303210.pdf?arnumber=10303210
Reference13 articles.
1. Enriched Random Forest for High Dimensional Genomic Data
2. Improved Weighted Random Forest for Classification Problems
3. Document Clustering Using Hybrid LDA- Kmeans;oi-mean;Applied Informatics and Cybernetics in Intelligent Systems Proceedings of the 9th Computer Science On-line Conference 2020 Advances in Intelligent Systems and Computing (AISC 1226),2020
4. An Improved Method of PS-QPSK Based on Kmeans for Optical Systems
5. Research on Dynamic IPO Knowledge Matching Based on Evidence Reasoning;guo;Journal of the China Society for Scientific and Technical Information,2017
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