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 | Differentially Private Frequent Itemset Mining via Transaction Splitting: A SurveyKETAKI PATIL, PROF. RUGRAJDept. of Computer Engineering, Alard college of Engineering and Management, Pune, India |
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pdf/t6MQjAkSLs2XPdJXOxjcgXA2o2ayiAILVE7iA7HZ.pdf |