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

Revolutionizing Income Tax Fraud Detection using Techniques in Artificial Intelligence and Machine Learning

Uday G, Ranganath R, Rohith M, Karthik Kumar SM, Abhishek V, Dr Saira Banu Atham

Student, Department of Computer Science and Engineering, Presidency University, Bengaluru, Karnataka, India

Professor & HOD, Department of Computer Science and Engineering, Presidency University, Bengaluru, Karnataka, India

DOI: 10.15680/IJIRCCE.2024.1212074
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