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Keyword

customer profiling

Description: The analysis and classification of customers using demographic, behavioral, transactional, or other data to support marketing and business decisions.
OpenAlex ID: keywords/customer-profiling
Integration K-Means Clustering Method and Elbow Method For Identification of The Best Customer Profile Cluster
2018 · M A Syakur, B K Khotimah, et al. · IOP Conference Series Materials Science and Engineering · 1,222
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Towards Industry 4.0
2018 · Lorenzo Ardito, Antonio Messeni Petruzzelli, et al. · Business Process Management Journal · 498
Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’
2015 · Sue Newell, Marco Marabelli · The Journal of Strategic Information Systems · 493
Applied Data Mining: Statistical Methods for Business and Industry
2003 · Paolo Giudici · Medical Entomology and Zoology · 434
Accelerating Customer Relationships: Using Crm and Relationship Technologies
2000 · Ronald Swift · 434
A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector
2019 · Irfan Ullah, Basit Raza, et al. · IEEE Access · 394
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Detecting price and search discrimination on the internet
2012 · Jakub Mikians, László Gyarmati, et al. · ACM Workshop on Hot Topics in Networks (HotNets) · 244
An integrated data mining and behavioral scoring model for analyzing bank customers
2004 · Nan-Chen Hsieh · Expert Systems with Applications · 234
Using data mining methods to build customer profiles
2001 · G. Adomavicius, A. Tuzhilin · Computer · 234
Chapter 7 Behavior-Based Price Discrimination and Customer Recognition
2006 · Drew Fudenberg, J. Miguel Villas-Boas · Handbooks in information systems · 227
Bayesian neural network learning for repeat purchase modelling in direct marketing
2002 · Bart Baesens, Stijn Viaene, et al. · European Journal of Operational Research · 218
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Segmentation Using Two-Step Cluster Analysis
2016 · Aaron Tkaczynski · Springer eBooks · 205
Impact of Big Data Analytics on Banking Sector: Learning for Indian Banks
2015 · Utkarsh Srivastava, Santosh Gopalkrishnan · Procedia Computer Science · 161
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Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning
2013 · Kristof Coussement, Koen W. De Bock · Journal of Business Research · 157
LOTUS: An Algorithm for Building Accurate and Comprehensible Logistic Regression Trees
2004 · Kin-Yee Chan, Wei-Yin Loh · Journal of Computational and Graphical Statistics · 154
The coming battle for customer information.
1998 · J Hagel, J F Rayport · PubMed · 154
Corporate digital responsibility (CDR) in the age of AI: implications for interactive marketing
2023 · Werner H. Kunz, Jochen Wirtz · Journal of Research in Interactive Marketing · 152
Using big data from Customer Relationship Management information systems to determine the client profile in the hotel sector
2018 · Pilar Talón-Ballestero, Lydia González-Serrano, et al. · Tourism Management · 147
Product life cycle cost analysis: the impact of customer profiling, competitive advantage, and quality of IS information
2004 · Alan S. Dunk · Management Accounting Research · 146
Ethical issues in web data mining
2004 · Lita van Wel, Lambèr Royakkers · Ethics and Information Technology · 143
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Customer profiling, segmentation, and sales prediction using AI in direct marketing
2023 · Mahmoud SalahEldin Kasem, Mohamed Hamada, et al. · Neural Computing and Applications · 141
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Using data mining techniques for profiling profitable hotel customers: An application of RFM analysis
2016 · Aslıhan Dursun, Meltem Caber · Tourism Management Perspectives · 141
Emotional Text Mining: Customer profiling in brand management
2019 · Francesca Greco, Alessandro Polli · International Journal of Information Management · 138
Another trip to the mall: a segmentation study of customers based on their activities
2004 · Jean-Paul Ruiz, Jean-Charles Chebat, et al. · Journal of Retailing and Consumer Services · 135
Eye-Tracking-Based Classification of Information Search Behavior Using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments
2020 · Jella Pfeiffer, Thies Pfeiffer, et al. · Information Systems Research · 132
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Works count: 2,693
Citation count: 15,000
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