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 | Detection of Anomalies using Local Outlier Factor and Isolation Forest algorithm Sunny Nimani, Mahesh Khairnar, Prathamesh Khele, Vishal Patil, Prof. S.S. Banait Students, Dept. of Computer Engineering, K. K. Wagh Institute of Engineering Education and Research, Nashik, India Assistant Professor, Dept. Dept. of Computer Engineering, K. K. Wagh Institute of Engineering Education and Research, Nashik, India DOI: 10.15680/IJIRCCE.2022.1006204 |
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| pdf/bx6BSQGlNxx9ui2tdyvKS30zuAlATCi3YL5KKNtd.pdf |
