"A Hybrid Machine Learning Approach for Customer Segmentation Using RFM Analysis"

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Book	Author(s)	Year	Publisher
Practical Machine Learning for Data Analysis Using Python	Abdulhamit Subasi	2020	Academic Press
Behavior Analysis with Machine Learning Using R	Enrique Garcia Ceja	2021	Routledge
Customer segmentation and clustering using SAS Enterprise Miner	Randall S. Collica	2011	SAS
Customer Segmentation and Clustering Using SAS Enterprise Miner	Randall S. Collica	2017	SAS Institute
Hybrid Machine Intelligence for Medical Image Analysis	Siddhartha Bhattacharyya; Debanjan Konar; Jan Platos; Chinmoy Kar; Kalpana Sharma	1st ed. 2020	Springer Nature Singapore
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques	Abdulhamit Subasi	2019	Academic Press
Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework	Mousmita Sarma; Kandarpa Kumar Sarma	2014	Springer India
Hybrid Soft Computing for Image Segmentation	Siddhartha Bhattacharyya; Paramartha Dutta; Sourav De; Goran Klepac	1st ed. 2016	Springer International Publishing
A hybrid segmentation approach used in the computer diagnostic system for malignant melanoma	Suyi Shao	1994
Machine Learning Using R	Karthik Ramasubramanian; Abhishek Singh	1st ed.	Apress
Machine Learning using Python	Manaranjan Pradhan	2019	WILEY INDIA
Big Data Analysis Using Machine Learning for Social Scientists and Criminologists	Juyoung Song	2019	Cambridge Scholars Publishing
Machine Learning for Multimedia Content Analysis	Yihong Gong; Wei Xu	2007	Springer US
Machine Learning for Big Data Analysis	Siddhartha Bhattacharyya; Hrishikesh Bhaumik; Anirban Mukherjee; Sourav De	2019	De Gruyter
Kinesthetic Perception: A Machine Learning Approach	Subhasis Chaudhuri; Amit Bhardwaj	1st ed. 2018	Springer Nature Singapore
Intrusion detection: a machine learning approach	Zhenwei Yu	2011	Imperial College Press;Distributed by World Scientific
Biometric authentication: a machine learning approach /	Kung, S. Y.; Mak, M. W.; Lin, Shang-Hung,	[2005], ©2005.	Prentice Hall Professional Technical Reference,
Document Processing Using Machine Learning	Sk Md Obaidullah; KC Santosh; Teresa Goncalves; Nibaran Das; Kaushik Roy	2019	Routledge
Machine Learning in Python: for Predictive Analysis	Michael Bowles	2015	John Wiley & Sons
Applied Machine Learning for Smart Data Analysis	Nilanjan Dey; Sanjeev Wagh; Parikshit N. Mahalle; Mohd. Shafi Pathan	2019	Routledge
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Hybrid Machine Learning Approach for Customer Segmentation Using RFM Analysis	Poonam Chaudhary; Vaishali Kalra; Srishti Sharma	International Conference on Artificial Intelligence and Sustainable Engineering: Select Proceedings of AISE 2020, Volume 1	Goutam Sanyal; Carlos M. Travieso-González; Shashank Awasthi; Carla M. A. Pinto; B. R. Purushothama	1st ed. 2022	Springer Nature Singapore
Machine Learning for Customer Segmentation Through Bibliometric Approach	Lopamudra Behera; Pragyan Nanda; Bhagyashree Mohanta; Rojalin Behera; Srikanta Patnaik	Advances in Machine Learning and Computational Intelligence: Proceedings of ICMLCI 2019	Srikanta Patnaik; Xin-She Yang; Ishwar K. Sethi	1st ed. 2021	Springer Nature Singapore
A Hybrid Machine Learning Approach for Customer Loyalty Prediction	Hiu Fai Lee; Ming Jiang	Neural Computing for Advanced Applications: Second International Conference, NCAA 2021, Guangzhou, China, August 27-30, 2021, Proceedings	Haijun Zhang; Zhi Yang; Zhao Zhang; Zhou Wu; Tianyong Hao	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
Analysis of Unsupervised Machine Learning Techniques for Customer Segmentation	Anant Katyayan; Anuja Bokhare; Rajat Gupta; Sushmita Kumari; Twinkle Pardeshi	Machine Learning and Autonomous Systems: Proceedings of ICMLAS 2021	Joy Iong-Zong Chen; Haoxiang Wang; Ke-Lin Du; V. Suma	1st ed. 2022	Springer Nature Singapore
A Unified Analysis of Bank Customer Using Machine Learning	Tripuramallu Mohith; Thunuguntla Rakesh; R. Yogitha	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
A Fuzzy Set Approach for Analyzing Customer RFM Data	T. Chen; Hsin-Chieh Wu	International E-Conference on Computer Science 2005: Lecture Series on Computer and Computational Sciences II	T. E. Simos; G. Psihoyios	2005	Routledge
Visualizing RFM segmentation	Ron Kohavi and Rajesh Parekh	Proceedings of the Fourth SIAM International Conference on Data Mining /	Berry, Michael W.	[2004], ©2004.	Society for Industrial and Applied Mathematics,
Hybrid Cloud Data Protection Using Machine Learning Approach	D. Praveena; S. Thanga Ramya; V. P. Gladis Pushparathi; Pratap Bethi; S. Poopandian	Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing	Sujata Dash; Subhendu Kumar Pani; Ajith Abraham; Yulan Liang	1st ed. 2021	Springer International Publishing
Chapter 8: Customer Segmentation Using RFM Analysis: Real Case Application on a Fuel Company		Applications of Big Data and Business Analytics	Sneha Kumari; K. K. Tripathy; Vidya Kumbhar	2020	Emerald Publishing
Image Segmentation for Connectomics Using Machine Learning	T. Tasdizen; M. Seyedhosseini; T. Liu; C. Jones; E. Jurrus	Computational Intelligence in Biomedical Imaging	Kenji Suzuki	2014	Springer New York
An Efficient Approach for Analysis and Segmentation of Plants Diseases Using Machine Learning	R. Umamaheswari; S. Uma	Advances in Computational Intelligence and Communication Technology: Proceedings of CICT 2021	Xiao-Zhi Gao; Shailesh Tiwari; Munesh C. Trivedi; Pradeep Kumar Singh; Krishn K. Mishra	1st ed. 2022	Springer Nature Singapore
Machine Learning Approach for Sentiment Analysis	Basant Agarwal; Namita Mittal	Prominent Feature Extraction for Sentiment Analysis	Basant Agarwal; Namita Mittal	1st ed. 2016	Springer International Publishing
RFM approach		Customer lifetime value: the path to profitability	Kumar, V.	2008	Now Publishers, Inc.
CLOP Ransomware Analysis Using Machine Learning Approach	E. S. Aiswarya; Adheena Maria Benny; Leena Vishnu Namboothiri	Computer Networks and Inventive Communication Technologies: Proceedings of Fourth ICCNCT 2021	S. Smys; Robert Bestak; Ram Palanisamy; Ivan Kotuliak	1st ed. 2022	Springer Nature Singapore
44 Tree-Based Segmentation Using RFM		Customer Segmentation and Clustering Using SAS Enterprise Miner	Randall S. Collica	2017	SAS Institute
Brain Tumour Segmentation Using Hybrid Approach	P. Nageswara Reddy; Ch. Satyanarayana; C. P. V. N. J. Mohan Rao	Machine Learning and Internet of Things for Societal Issues	Ch. Satyanarayana; Xiao-Zhi Gao; Choo-Yee Ting; Naresh Babu Muppalaneni	1st ed. 2022	Springer Nature Singapore
A Hybrid Approach of Verbal Decision Analysis and Machine Learning	Isabelle Tamanini; Plácido Rogério Pinheiro; Cícero Nogueira dos Santos	Rough Sets and Current Trends in Computing: 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012. Proceedings	JingTao Yao; Yan Yang; Roman Slowiński; Salvatore Greco; Huaxiong Li; Sushmita Mitra; Lech Polkowski	2012	Springer Berlin Heidelberg
Using Customer Segmentation to Build a Hybrid Recommendation Model	Pedro Camacho; Ana de Almeida; Nuno António	Advances in Tourism, Technology and Systems: Selected Papers from ICOTTS20, Volume 1	João Vidal de Carvalho; Álvaro Rocha; Pedro Liberato; Alejandro Peña	1st ed. 2021	Springer Nature Singapore
E-commerce Customer Segmentation Based on RFM Model	Jiangwei Ma	Frontier Computing: Proceedings of FC 2021	Jason C. Hung; Neil Y. Yen; Jia-Wei Chang	1st ed. 2022	Springer Nature Singapore
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Showing 1 to 20 of 100 entries

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