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 | Comparative Analysis of Clustering Techniques in Network Traffic
Faults Classification KARWAN
QADER, MO ADDA, MOUHAMMD AL-KASASSBEH School of Computing, Faculty of Technology, University of
Portsmouth, Portsmouth, United Kingdom School of Computing, Faculty of Technology, University of
Portsmouth, Portsmouth, United Kingdom
Department of Computer
Science, Information Technology College, Mutah University, Jordan |
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| pdf/xleKMFs8lFX8YivQSCt2dcLn8Ki21IjFSlU9mdhq.pdf |
