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November 15, 2025 from 8am to 5pm
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October 19, 2025 at 6pm to November 30, 2025 at 7pm
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November 6, 2025 to November 8, 2025
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November 21, 2025 to November 22, 2025
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October 31, 2025 from 9:30am to 5:30pm
Request for Article-Reg.
Dear Sir/Madam,
Greetings of the day!Hope you are doing well. One of our library patrons is seeking the following article for academic purposes. We would greatly appreciate your assistance in providing it.
Baby Lavanya, K., Ismail Ansari, M., Gundu, V., Krishna Mohan, G., Mouleswararao, B. (2024). Predictive Analysis of Telecom Customer Churn Using Machine Learning Techniques. In: E. Balas, V., Prakash, K.B., Varma, G.P.S. (eds) Proceedings of the International Conference on Internet of Everything and Quantum Information Processing. IEQIP 2023. Lecture Notes in Networks and Systems, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-031-61929-8_15
Thanks in advance.
--
Kind Regards
Dr. U. PRAMANATHAN, MA., B.Ed., T.P.T., M.L.I.S., M.Phil., P.G.D.C.A., Ph.D.
Librarian,
Learning Resource Centre,
PSG Institute of Management,
Peelamedu, Coimbatore-641004.
Tamilnadu, India.
Phone No.: 0422-4304437
Mobile / WhatsApp No.: +91 9789639957.
E-Mail ID.: librarian@psgim.ac.in
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Permalink Reply by Dr. U. PRAMANATHAN on
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Dear Sir/Madam, I have received this article from one of our LIS professional friends. Thank you very much for your efforts!🙏
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