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Users Segmentation Based on Google Analytics Income Using K-Means
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Users Segmentation Based on Google Analytics Income Using K-Means (2021)Users Segmentation Based on Google Analyt…Determine the Number of Unknown Targets in Open World Based on Elbow Method (2020)Determine the Number of Unkno…K-means Clustering Using R A Case Study of Market Segmentation (2019)K-means Clustering Using R A …Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study (2018)Research Landscape of Busines…Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision (2018)Market segmentation: A multip…Market Segmentation Analysis and Visualization using K-Mode Clustering Algorithm for E-Commerce Business (2018)Market Segmentation Analysis …Customer Segmentation using K-means Clustering (2018)Customer Segmentation using K…Customer Behaviour Segmentation Among Mobile Service Providers In Kenya Using K-Means Algorithm (2018)Customer Behaviour Segmentati…An Economic Model of the Evolution of Food Retail and Supply Chains from Traditional Shops to Supermarkets to E‐Commerce (2018)An Economic Model of the Evol…Segmenting & profiling the deflecting customer: understanding shopping cart abandonment (2017)Segmenting & profiling the de…One size does (obviously not) fit all: Using product attributes for wine market segmentation (2017)One size does (obviously not)…Segmenting online consumers using K-means cluster analysis (2014)Segmenting online consumers u…A causal model of consumer involvement (1989)Distinguishing Coupon Proneness from Value Consciousness: An Acquisition-Transaction Utility Theory Perspective (1990)Using simulations from discrete choice experiments to measure consumer sensitivity to brand, region, price, and awards in wine choice (2005)The willingness to pay of Sicilian consumers for a wine obtained with sustainable production method: An estimate through an ordered probit sample-selection model (2019)Consumers’ Preferences for Wine Attributes: A Best-Worst Scaling Analysis (2020)Measuring consumers’ preferences for craft beer attributes through Best-Worst Scaling (2020)Mental Accounting and Consumer Choice (1985)Trustworthiness in electronic commerce: the role of privacy, security, and site attributes (2002)Mental Accounting and Consumer Choice (2008)Factors affecting shopping cart abandonment: pre-decisional conflict as a mediator (2018)The influence of perceived risk on mobile shopping cart abandonment (2022)Antecedents of Electronic Shopping Cart Abandonment during Online Purchase Process (2023)MONOPOLISTIC COMPETITION AND OPTIMUM PRODUCT DIVERSITY (1975)The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity (2003)The Rise of Supermarkets in Africa, Asia, and Latin America (2003)“Pivoting” by food industry firms to cope with COVID‐19 in developing regions: E‐commerce and “copivoting” delivery intermediaries (2021)Food systems transformation in Asia – A brief economic history (2022)Can rural e-commerce narrow the urban–rural income gap? Evidence from coverage of Taobao villages in China (2023)Principles of Marketing (1972)Decisions with Multiple Objectives: Preferences and Value Tradeoffs. (1994)Multiple Criteria Decision Analysis: State of the Art Surveys (2005)Generalised framework for multi-criteria method selection (2018)Consumer preference analysis: A data-driven multiple criteria approach integrating online information (2019)Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews (2019)Big data: The next frontier for innovation, competition, and productivity (2011)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations (2019)Real-time big data processing for instantaneous marketing decisions: A problematization approach (2019)Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis (2021)Book Review: Marketing Management: Analysis, Planning and Control, Second Edition (1973)Market Segmentation: Conceptual and Methodological Foundations (1997)Customer Segmentation Using Hierarchical Agglomerative Clustering (2019)Data Science and Marketing in E-Commerce Amid COVID-19 Pandemic (2021)Optimizing Marketing Strategies with RFM Method and K-Means Clustering-Based AI Customer Segmentation Analysis (2024)Marketing segmentation using support vector clustering (2006)Market Segmentation Analysis (2018)Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful (2018)Machine Learning for Customer Segmentation Through Bibliometric Approach (2020)Customer Market Segmentation using Machine Learning Algorithm (2022)Who Belongs in the Family? (1953)A k-nearest neighbor classification rule based on Dempster-Shafer theory (1995)Combining belief functions when evidence conflicts (2000)A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis (2020)Complex Network Modeling of Evidence Theory (2020)GIQ: A Generalized Intelligent Quality-Based Approach for Fusing Multisource Information (2020)Research Methodology: Methods and Techniques (2004)Customer segmentation using unobserved heterogeneity in the perceived-value–loyalty–intentions link (2013)Mobile customer segmentation based on smartphone measurement (2013)K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data (2022)LRFS: Online Shoppers’ Behavior-Based Efficient Customer Segmentation Model (2024)Enhancing Online Retail Insights: K-Means Clustering and PCA for Customer Segmentation (2025)An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market (2023)Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda (2023)Deep Learning in Finance: A Survey of Applications and Techniques (2024)
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References

  • 2020Determine the Number of Unknown Targets in Open World Based on Elbow Method362 cited
  • 2018Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study256 cited
  • 2018Customer Segmentation using K-means Clustering186 cited
  • 2017One size does (obviously not) fit all: Using product attributes for wine market segmentation106 cited
  • 2018Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision102 cited
  • 2018An Economic Model of the Evolution of Food Retail and Supply Chains from Traditional Shops to Supermarkets to E‐Commerce83 cited
  • 2018Market Segmentation Analysis and Visualization using K-Mode Clustering Algorithm for E-Commerce Business55 cited
  • 2017Segmenting & profiling the deflecting customer: understanding shopping cart abandonment28 cited
  • 2019K-means Clustering Using R A Case Study of Market Segmentation15 cited
  • 2018Customer Behaviour Segmentation Among Mobile Service Providers In Kenya Using K-Means Algorithm13 cited
  • 2014Segmenting online consumers using K-means cluster analysis10 cited

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