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Use of autoencoder and one-hot encoding for customer segmentation

Smutek, Tomasz; Sikora, Janusz W.; Bogacki, Sylwester; … - In: European research studies 27 (2024), pp. 72-82

Persistent link: https://www.econbiz.de/10014543578

Estimation of an order book dependent hawkes process for large datasets

Mucciante, Luca; Sancetta, Alessio - 2024

Persistent link: https://www.econbiz.de/10015338768

An extended RFM model for customer behaviour and demographic analysis in retail industry

Nguyen, Suong; Nguyen, Huong; Nguyen, Ngoc; Man, Dac-Sang; … - In: Business Systems Research (BSR) 14 (2023) 1, pp. 26-53

Background: Customer segmentation has become one of the most innovative ways which help businesses adopt appropriate marketing campaigns and reach targeted customers. The RFM model and machine learning combination have been widely applied in various areas. Motivations: With the rapid increase of...

Persistent link: https://www.econbiz.de/10015408754

An extended RFM model for customer behaviour and demographic analysis in retail industry

Thanh Ho; Nguyen, Suong; Nguyen, Huong; Nguyen, Ngoc; … - In: Business systems research : a system view accross … 14 (2023) 1, pp. 26-53

Persistent link: https://www.econbiz.de/10014420503

Missing data preprocessing in credit classification : one-hot encoding or imputation?

Yu, Lean; Zhou, Rongtian; Chen, Rongda; Lai, Kin Keung - In: Emerging markets, finance & trade : a journal of the … 58 (2022) 2, pp. 472-482

Persistent link: https://www.econbiz.de/10012802096