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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pdf/DQAX2jKrsjra5QeYKSt7dC51nwoFQjjpRqEumNsY.pdf |