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 |
Applying Machine Learning Techniques to Detect Credit Card Fraud Prof. Gulafsha Anjum, Prof. Nidhi Pateriya, Prof. Neha Thakre, Aayush Tiwari, Shivanjay Mahanoor Department of Computer Science & Engineering, Baderia Global Institute of Engineering & Management, Jabalpur Madhya Pradesh, India DOI: 10.15680/IJIRCCE.2023.1106074 |
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| pdf/VYmq9duLYglEIBjHbCnXyA8ZJrmhQB8D5LqlomuR.pdf |
