SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Using Unsupervised Machine Learning Techniques for Behavioral-based Credit Card Users Segmentation in Africa
4 references·6 citing·39 second hop
Using Unsupervised Machine Learning Techniques for Behavioral-based Credit Card Users Segmentation in Africa (2020)Using Unsupervised Machine Learning Techn…The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution (2018)The Global Findex Database 20…Approaches to Clustering in Customer Segmentation (2018)Approaches to Clustering in C…Application of K-Means Algorithm for Efficient Customer Segmentation: A Strategy for Targeted Customer Services (2015)Application of K-Means Algori…What is the Analytic Hierarchy Process? (1988)What is the Analytic Hierarch…LRFS: Online Shoppers’ Behavior-Based Efficient Customer Segmentation Model (2024)LRFS: Online Shoppers’ Behavi…Human-Centred Machine Learning Approaches for Smart Cultural Heritage Spaces: A Multicontinental Review (2024)Human-Centred Machine Learnin…Data-driven strategies for digital native market segmentation using clustering (2024)Data-driven strategies for di…Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector (2023)Financial revolution: a syste…Customer Market Segmentation using Machine Learning Algorithm (2022)Customer Market Segmentation …Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering (2022)Analysis of Unsupervised Mach…The Analytic Hierarchy Process (1985)On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty (2002)Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014 (2015)Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014 (2015)Big data: The next frontier for innovation, competition, and productivity (2011)The basis of market segmentation: a critical review of literature (2011)Customer Segmentation Using Machine Learning (2021)Geo-Marketing Segmentation with Deep Learning (2021)Customer Mobile Behavioral Segmentation and Analysis in Telecom Using Machine Learning (2022)Market segmentation based on age and attitude toward the past: Concepts, methods, and findings concerning nostalgic influences on customer tastes (1996)Rediscovering market segmentation. (2006)Customer Segmentation using K-means Clustering (2018)Customer Segmentation Using Clustering and Data Mining Techniques (2013)Clustering Analysis for Silent Telecom Customers Based on K-means++ (2020)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Customer segmentation in e-commerce: a context-aware quality model for comparing clustering algorithms (2024)The Role of Complex Systems in Predictive Analytics for E-Commerce Innovations in Business Management (2024)Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms (2025)Artificial Intelligence and Business Value: a Literature Review (2021)Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The role of artificial intelligence in mobile banking: decoding portuguese consumers’ perceptions and intentions to engage (2025)Digital Natives, Digital Immigrants Part 1 (2001)Sentiment analysis of social networking sites (SNS) data using machine learning approach for the measurement of depression (2017)Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning (2022)Discovering customer segments through interaction behaviors for home appliance business (2025)Knowledge discovery on RFM model using Bernoulli sequence (2008)The influence of loyalty programme membership on customer purchase behaviour (2008)Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks (2018)Tacit Knowing: Its Bearing on Some Problems of Philosophy (1962)Visualising and revitalising traditional Chinese martial arts (2019)Digital Twins and Enabling Technologies in Museums and Cultural Heritage: An Overview (2023)Human-centric artificial intelligence towards Industry 5.0: retrospect and prospect (2025)Does financial literacy improve financial inclusion? Cross country evidence (2018)Does financial inclusion reduce poverty and income inequality in developing countries? A panel data analysis (2020)From Poverty to Disaster and Back: a Review of the Literature (2020)Customer Segmentation using Machine Learnin (2020)Customer Segmentation using RFM Model and K-Means Clustering (2021)Segmentation of store customers to increase sales using ABC-XYZ-analysis and clustering methods (2021)
this work references cited by second hop

References

  • 2018The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution2,660 cited
  • 1988What is the Analytic Hierarchy Process?1,581 cited
  • 2015Application of K-Means Algorithm for Efficient Customer Segmentation: A Strategy for Targeted Customer Services65 cited
  • 2018Approaches to Clustering in Customer Segmentation63 cited

Cited by

  • 2022Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering27 cited
  • 2024Data-driven strategies for digital native market segmentation using clustering18 cited
  • 2023Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector18 cited
  • 2022Customer Market Segmentation using Machine Learning Algorithm14 cited
  • 2024LRFS: Online Shoppers’ Behavior-Based Efficient Customer Segmentation Model9 cited
  • 2024Human-Centred Machine Learning Approaches for Smart Cultural Heritage Spaces: A Multicontinental Review2 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work