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The impact of feature selection : a data-mining application in direct marketing

Tan, Ding-wen; Yeoh, William; Boo, Yee Ling; Liew, Soung-yue - In: Intelligent systems in accounting finance and … 20 (2013) 1, pp. 23-38

Persistent link: https://www.econbiz.de/10009752149

Have consumers escaped from COVID-19 restrictions by seeking variety? : a machine learning approach analyzing wine purchase behavior in the United States

Rinke, Wolfram; Ho, Shuay-Tsyr - In: Journal of wine economics 18 (2023) 4, pp. 302-311

The COVID-19 pandemic itself constitutes an environment for people to experience the potential loss of control and freedom due to social distancing measures and other government orders. Variety-seeking has been treated as a mechanism to regain a sense of self-control. Using Machine Learning...

Persistent link: https://www.econbiz.de/10014520138

A multi-technique data mining approach to exploring consumer behaviors

Athappilly, Kuriakose; Razi, Muhammad A.; Tarn, J. Michael - In: Human systems management : HSM 29 (2010) 3, pp. 153-163

Persistent link: https://www.econbiz.de/10008657330

Business intelligence in blogs : understanding consumer interactions and communities

Chau, Michael; Xu, Jennifer - In: Management information systems : mis quarterly 36 (2012) 4, pp. 1189-1216

Persistent link: https://www.econbiz.de/10009680766

All you can pay : how companies use our data to empty our wallets

Bernasek, Anna; Mongan, D. T.; Mongan, D.T. - 2015

Examines the corporate practice of gathering massive amounts of data on consumer behaviors, needs, and desires, and using it to influence decision making and determine how much individuals will pay based on how much they are able to