"Customer Churn Prediction in Telecommunication Using Gradient Boosting Machine"

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Book	Author(s)	Year	Publisher
Distributed Machine Learning and Gradient Optimization	Jiawei Jiang; Bin Cui; Ce Zhang	1st ed. 2022	Springer Nature Singapore
Customer success: how innovative companies are reducing churn and growing recurring revenue	Nick Mehta	2016	John Wiley & Sons
Machine Learning for Microbial Phenotype Prediction	Roman Feldbauer	1st ed. 2016	Springer Fachmedien Wiesbaden
Conformal Prediction for Reliable Machine Learning	Vineeth Balasubramanian; Shen-Shyang Ho and Vladimir Vovk	2014	Morgan Kaufmann
Financial prediction using neural networks	Joseph S. Zirilli	1996	International Thomson Computer Press
Sharp nose lens design using refractive index gradient	Oded Amichai	1982	Naval Postgraduate School;Available from National Technical Information Service
No-churn ice cream: over 100 simply delicious no-machine frozen treats	Leslie Bilderback	2015	St. Martin's Griffin
Machine Learning for Protein Subcellular Localization Prediction	Shibiao Wan; Man-Wai Mak	2015	De Gruyter
Machine Learning Using R	Karthik Ramasubramanian; Abhishek Singh	1st ed.	Apress
Machine Learning using Python	Manaranjan Pradhan	2019	WILEY INDIA
Gradient /	Heisler, Jeffrey,; Yeh, I-Chen,; Sekhon, Baljinder,; Chen, Yi,; Stulman, Timothy,; Leroux, Philippe.; Wiley, Frank.; Reich, Steve,
Nanoseparation Using Density Gradient Ultracentrifugation: Mechanism, Methods and Applications	Xiaoming Sun; Liang Luo; Yun Kuang; Pengsong Li	1st ed. 2018	Springer Nature Singapore
Prediction and Analysis for Knowledge Representation and Machine Learning: Prediction and Analysis for Knowledge Representation and Machine Learning	Avadhesh Kumar; Shrddha Sagar; T. Ganesh Kumar; K. Sampath Kumar	2022	Routledge
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction	Dipankar Deb; Harsh Dhiman andValentina Emilia Balas	2020	Academic Press
Fighting Churn with Data	Carl Gold	2020	Manning Publications
Churn 'em & Burn 'em	Maurice D. Rutledge	July 1992	Rutledge Publishing Co
Churn for the Worse	Laura Bradford	2016	Penguin Publishing Group
Multivariate Statistical Machine Learning Methods for Genomic Prediction	Osval Antonio Montesinos López; Abelardo Montesinos López; José Crossa	1st ed. 2022	Springer International Publishing
Medical Risk Prediction: With Ties to Machine Learning	Thomas A. Gerds; Michael W. Kattan	2021	Routledge
Waves in gradient metamaterials	A B Shvart︠s︡burg; A A Maradudin	2013	World Scientific
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Customer Churn Prediction in Telecommunication Using Gradient Boosting Machine	Manoj Kumar; Dharmendra Kumar Yadav	International Conference on Innovative Computing and Communications: Proceedings of ICICC 2021, Volume 2	Ashish Khanna; Deepak Gupta; Siddhartha Bhattacharyya; Aboul Ella Hassanien; Sameer Anand; Ajay Jaiswal	1st ed. 2022	Springer Nature Singapore
Predicting Telecommunication Customer Churn using Machine Learning Techniques	Daisy Reneilwe Chabumba; Ashwini Jadhav; Ritesh Ajoodha	Interdisciplinary Research in Technology and Management: Proceedings of the International Conference on Interdisciplinary Research in Technology and Management (IRTM, 2021), 26-28 February, 2021, Kolkata, India	Satyajit Chakrabarti; Rintu Nath; Pradipta Kumar Banerji; Sujit Datta; Sanghamitra Poddar; Malay Gangopadhyaya	2021	Routledge
Prediction of Customer Churn Using Machine Learning	Saifil Momin; Tanuj Bohra; Purva Raut	EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing: BDCC 2018	Anandakumar Haldorai; Arulmurugan Ramu; Sudha Mohanram; Chow Chee Onn	1st ed. 2020	Springer International Publishing
Customer Churn Prediction in Telecommunications Using Gradient Boosted Trees	Tanu Sharma; Prachi Gupta; Veni Nigam; Mohit Goel	International Conference on Innovative Computing and Communications: Proceedings of ICICC 2019, Volume 2	Ashish Khanna; Deepak Gupta; Siddhartha Bhattacharyya; Vaclav Snasel; Jan Platos; Aboul Ella Hassanien	1st ed. 2020	Springer Nature Singapore
Enhanced Prediction Model for Customer Churn in Telecommunication Using EMOTE	S. Babu; N. R. Ananthanarayanan	International Conference on Intelligent Computing and Applications: ICICA 2016	Subhransu Sekhar Dash; Swagatam Das; Bijaya Ketan Panigrahi	1st ed. 2018	Springer Nature Singapore
Customer Churn Prediction		Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics	Aurelien Clere, Vinnie Bansal	2022	Wiley
Customer Churn Time Prediction in Mobile Telecommunication Industry Using Ordinal Regression	Rupesh K. Gopal; Saroj K. Meher	Advances in Knowledge Discovery and Data Mining: 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings	Takashi Washio; Einoshin Suzuki; Kai Ming Ting; Akihiro Inokuchi	2008	Springer Berlin Heidelberg
Gradient Boosting Machine	V Kishore Ayyadevara	Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R	V Kishore Ayyadevara	1st ed.	Apress
Gradient-boosting machine		Hands-On Machine Learning for Algorithmic Trading	Stefan Jansen	2018	Packt
Customer Churn Prediction in FMCG Sector Using Machine Learning Applications	S. Nazlı Günesen; Necip Şen; Nihan Yıldırım; Tolga Kaya	Artificial Intelligence for Knowledge Management: 8th IFIP WG 12. 6 International Workshop, AI4KM 2021, Held at IJCAI 2020, Yokohama, Japan, January 7–8, 2021, Revised Selected Papers	Eunika Mercier-Laurent; M. Özgür Kayalica; Mieczyslaw Lech Owoc	1st ed. 2021	Springer International Publishing
Investigation on Customer Churn Prediction Using Machine Learning Techniques	K. Veningston; P. V. Venkateswara Rao; C. Selvan; M. Ronalda	Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 2	Mukesh Saraswat; Sarbani Roy; Chandreyee Chowdhury; Amir H. Gandomi	1st ed. 2022	Springer Nature Singapore
Customer Churn Prediction Using Deep Learning	Omer Faruk Seymen; Onur Dogan; Abdulkadir Hiziroglu	Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)	Ajith Abraham; Yukio Ohsawa; Niketa Gandhi; M.A. Jabbar; Abdelkrim Haqiq; Seán McLoone; Biju Issac	1st ed. 2021	Springer International Publishing
Energy Consumption Prediction Using Light Gradient Boosting Machine Model	Shamit Roy Chowdhury; Sushruta Mishra; Annie Olivia Miranda; Pradeep Kumar Mallick	Advances in Power Systems and Energy Management: Select Proceedings of ETAEERE 2020	Neeraj Priyadarshi; Sanjeevikumar Padmanaban; Ranjan Kumar Ghadai; Amiya Ranjan Panda; Ranjeeta Patel	1st ed. 2021	Springer Nature Singapore
Customer Churn Analysis Using Machine Learning	Ritika Tyagi; K. Sindhu	Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI 2021	Mohammad Shorif Uddin; Prashant Kumar Jamwal; Jagdish Chand Bansal	1st ed. 2022	Springer Nature Singapore
Telecom Customer Churn Prediction	Mehul Bhargava; Shruti Singh; Jaya Sharma; D. Franklin Vinod	Proceedings of International Conference on Wireless Communication: ICWiCom 2021	Hari Vasudevan; Zoran Gajic; Amit A. Deshmukh	1st ed. 2022	Springer Nature Singapore
Using PCA to Predict Customer Churn in Telecommunication Dataset	T. Sato; B. Q. Huang; Y. Huang; M. -T. Kechadi; B. Buckley	Advanced Data Mining and Applications: 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II	Longbing Cao; Yong Feng; Jiang Zhong	2010	Springer Berlin Heidelberg
Predicting Telecommunication Customer Churn Using Data Mining Techniques	Diana AlOmari; Mohammad Mehedi Hassan	Internet and Distributed Computing Systems: 9th International Conference, IDCS 2016, Wuhan, China, September 28-30, 2016, Proceedings	Wenfeng Li; Shawkat Ali; Gabriel Lodewijks; Giancarlo Fortino; Giuseppe Di Fatta; Zhouping Yin; Mukaddim Pathan; Antonio Guerrieri; Qiang Wang	1st ed. 2016	Springer International Publishing
Churn Prediction in Telecommunication Industry Using Rough Set Approach	Adnan Amin; Saeed Shehzad; Changez Khan; Imtiaz Ali; Sajid Anwar	New Trends in Computational Collective Intelligence	David Camacho; Sang-Wook Kim; Bogdan Trawiński	2015	Springer International Publishing
Churn Prediction in Telecommunication Industry Using Rough Set Approa		New Trends in Computational Collective Intelligence	David Camacho, Sang-Wook Kim, Bogdan Trawiński (eds.)	2015	Springer International Publishing
Customer Churn Prediction Using Improved One-Class Support Vector Machine	Yu Zhao; Bing Li; Xiu Li; Wenhuang Liu; Shouju Ren	Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings	Xue Li; Shuliang Wang; Zhao Yang Dong	2005	Springer Berlin Heidelberg
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