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 | Statistical and Machine Learning Techniques for Prediction of Customer Churn in TelecomDR. T. LEO ALEXANDER, D. MONICA |
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| pdf/8XmPIetitoe1AcYd8vW0mV3mHxfsuNMJkoHaTM0F.pdf |
