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

Predicting Relations for the State of Vaccine for Covid Using High Utility Itemset Mining

U Suvarna, Harika Gorantla, Pragathi Sai Kalluri, Sri Lakshmi Sneha Gaddam, Tejaswi Battu

Associate Professor, Department of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India

U.G. Students, Department of Information Technology, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, Andhra Pradesh, India

DOI: 10.15680/IJIRCCE.2021.0907051

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