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Enhancing Customer Segmentation with Unsupervised Deep Learning
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Enhancing Customer Segmentation with Unsupervised Deep Learning (2025)Enhancing Customer Segmentation with Unsu…A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)A review on customer segmenta…A review: Data pre-processing and data augmentation techniques (2022)A review: Data pre-processing…Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Machine Learning: Algorithms,…Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions (2021)Deep Learning: A Comprehensiv…A NEW MEASURE OF RANK CORRELATION (1938)Organizing knowledge syntheses: A taxonomy of literature reviews (1988)Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis (2017)RFM model customer segmentation based on hierarchical approach using FCA (2023)Consumer segmentation with large language models (2024)The Role of Complex Systems in Predictive Analytics for E-Commerce Innovations in Business Management (2024)Data Science and Analytics: An Overview from Data-Driven Smart Computing, Decision-Making and Applications Perspective (2021)Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions (2023)Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization (2023)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism (2023)The current state of artificial intelligence generative language models is more creative than humans on divergent thinking tasks (2024)Data augmentation for univariate time series forecasting with neural networks (2022)Surfing the technology wave: An international perspective on enhancing teaching and learning in accounting (2023)Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights (2024)
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References

  • 2021Machine Learning: Algorithms, Real-World Applications and Research Directions5,577 cited
  • 2021Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions2,700 cited
  • 2022A review: Data pre-processing and data augmentation techniques1,333 cited
  • 2023A review on customer segmentation methods for personalized customer targeting in e-commerce use cases163 cited

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