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Data-driven strategies for digital native market segmentation using clustering
9 references·1 citing·45 second hop
Data-driven strategies for digital native market segmentation using clustering (2024)Data-driven strategies for digital native…Success or failure in equity crowdfunding? A systematic literature review and research perspectives (2022)Success or failure in equity …Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning (2022)Machine learning-based lung a…Efficient customer segmentation in digital marketing using deep learning with swarm intelligence approach (2022)Efficient customer segmentati…Using Unsupervised Machine Learning Techniques for Behavioral-based Credit Card Users Segmentation in Africa (2020)Using Unsupervised Machine Le…Digital natives’ intention to interact with social media: Value systems and gender (2018)Digital natives’ intention to…Customers Segmentation in the Insurance Company (TIC) Dataset (2018)Customers Segmentation in the…Sentiment analysis of social networking sites (SNS) data using machine learning approach for the measurement of depression (2017)Sentiment analysis of social …Mobile advertising to Digital Natives: preferences on content, style, personalization, and functionality (2017)Mobile advertising to Digital…Digital Natives, Digital Immigrants Part 1 (2001)Digital Natives, Digital Immi…Discovering customer segments through interaction behaviors for home appliance business (2025)Discovering customer segments…Digital game-based learning (2003)The ‘digital natives’ debate: A critical review of the evidence (2008)Digital Natives, Digital Immigrants (2013)Covid-19 pandemic and online learning: the challenges and opportunities (2020)Digital Natives, Digital Immigrants Part 2: Do They Really Think Differently? (2001)Born digital: understanding the first generation of digital natives (2009)New rules of social media shopping: Personality differences of U.S. Gen Z versus Gen X market mavens (2020)The YouTube Marketing Communication Effect on Cognitive, Affective and Behavioural Attitudes among Generation Z Consumers (2020)Are you talking to me? Generation X, Y, Z responses to mobile advertising (2021)Social Networking Sites (2013)Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality (2016)Depression Detection by Analyzing Social Media Posts of User (2019)A review on recognizing depression in social networks: challenges and opportunities (2020)Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model (2022)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Understanding Attitudes and Predicting Social Behavior (1980)On the Evaluation of Structural Equation Models (1988)The Impact of Multidimensionality of Literacy on the Use of Digital Technology: Digital Immigrants and Digital Natives (2018)A Two Phase Clustering Method for Intelligent Customer Segmentation (2010)Estimating customer future value of different customer segments based on adapted RFM model in retail banking context (2011)Determination of Customer Satisfaction using Improved K-means algorithm (2020)The practical approach in Customers segmentation by using the K-Means Algorithm (2020)New RFM-D classification model for improving customer analysis and response prediction (2023)What is the Analytic Hierarchy Process? 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A Study of Customer Reviews on Amazon.Com1 (2010)Effective customer segmentation using the recency, frequency, and monetary framework, combined with density-based clustering (2025)An ensemble machine learning based bank loan approval predictions system with a smart application (2023)
this work references cited by second hop

References

  • 2001Digital Natives, Digital Immigrants Part 111,096 cited
  • 2022Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning329 cited
  • 2017Sentiment analysis of social networking sites (SNS) data using machine learning approach for the measurement of depression158 cited
  • 2017Mobile advertising to Digital Natives: preferences on content, style, personalization, and functionality115 cited
  • 2022Efficient customer segmentation in digital marketing using deep learning with swarm intelligence approach110 cited
  • 2018Customers Segmentation in the Insurance Company (TIC) Dataset58 cited
  • 2022Success or failure in equity crowdfunding? A systematic literature review and research perspectives55 cited
  • 2020Using Unsupervised Machine Learning Techniques for Behavioral-based Credit Card Users Segmentation in Africa34 cited
  • 2018Digital natives’ intention to interact with social media: Value systems and gender18 cited

Cited by

  • 2025Discovering customer segments through interaction behaviors for home appliance business14 cited

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