International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
papers | A Survey on Employee Churn Prediction Using Machine Learning Prof.Madhusudhan G K, Dheeraj G, Madappa S, Manasa T N, Meghana B R Assistance Professor, Department of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology, Mysuru, India Students, Department of Computer Science and Engineering, Vidya Vikas Institute of Engineering and Technology, Mysuru, India DOI: 10.15680/IJIRCCE.2021.0907024 |
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