Telecom Churn Analysis using Machine Learning in Smart Cities-Reference-Cited by-同舟云学术

Telecom Churn Analysis using Machine Learning in Smart Cities

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)
language:
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Author:

Sharma Ashish¹,Shukla Prafullit¹,Gourisaria Mahendra Kumar²,Sharma Bhisham³,Dhaou Imed Ben⁴

Affiliation:

1. GLA University,Department of Computer Engineering & Applications,Mathura,UP,India

2. KIIT Deemed to be University,School of Computer Engineering,Bhubaneswar,Odisha,India

3. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

4. Dar Al-Hekma University,Hekma School of Engineering, Computing, and Informatics,Department of Computer Science,Jeddah,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084917/10084937/10085183.pdf?arnumber=10085183

Reference23 articles.

1. Comparative Study of K-Means Clustering Using Iris Data Set for Various Distances

2. Mining of data stream using “DDenStream” clustering algorithm;kumar;2013 IEEE International Conference in MOOC Innovation and Technology in Education (MITE),2013

3. Towards Integration of Blockchain and Machine Learning Technologies for Security in Smart Cities

4. Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets

5. Predicting image credibility in fake news over social media using multi-modal approach;singh;Neural Computing and Applications,2021

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