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.
MonicaAssociate Professor,
Department of Statistics, Loyola College, Chennai, India
Research Scholar, Department
of Statistics, Loyola College, Chennai, India |
|---|---|
| pdf/yM7pqBpKIipR08wvrWmIL9Q4j1TlMlIiHqsbLspH.pdf |
