Search Results - subject:"Feature engineering"

Enhancing portfolio decision-making : a capital asset pricing model-based clustering analysis

Pooja, R.; Kayal, Parthajit; Maiti, Moinak - In: Journal of economic studies 51 (2024) 9, pp. 358-379

Persistent link: https://www.econbiz.de/10015198641

A framework to improve churn prediction performance in retail banking

Brito, João B. G.; Bucco, Guilherme B.; Heldt, Rodrigo; … - In: Financial innovation : FIN 10 (2024), pp. 1-29

model's predictive performance. We addressed this problem by (1) employing feature engineering methods to generate a set of …: (1) feature engineering with recency, frequency, and monetary value concepts to address the imbalanced dataset issue, (2 …

Persistent link: https://www.econbiz.de/10014532015

An efficient artificial intelligence approach for early detection of cross-site scripting attacks

Younas, Faizan; Raza, Ali; Thalji, Nisrean; Abualigah, … - In: Decision analytics journal 11 (2024), pp. 1-13

deep learning approaches, including Long Short-Term Memory (LSTM). Additionally, advanced feature engineering techniques …

Persistent link: https://www.econbiz.de/10015101966

Enhancing portfolio decision-making: a capital asset pricing model-based clustering analysis

Pooja, R.; Kayal, Parthajit; Maiti, Moinak - In: Journal of Economic Studies 51 (2024) 9, pp. 358-379

Purpose To enhance portfolio decision-making using a capital asset pricing model-based clustering analysis. Design/methodology/approach Capital asset pricing model (CAPM); K-means clustering; agglomerative clustering. Findings Employing clustering along with CAPM to identify varying levels of...

Persistent link: https://www.econbiz.de/10015350127

A review on customer segmentation methods for personalized customer targeting in e-commerce use cases

Alves Gomes, Miguel; Meisen, Tobias - In: Information Systems and e-Business Management 21 (2023) 3, pp. 527-570

The importance of customer-oriented marketing has increased for companies in recent decades. With the advent of one-customer strategies, especially in e-commerce, traditional mass marketing in this area is becoming increasingly obsolete as customer-specific targeting becomes realizable. Such a...

Persistent link: https://www.econbiz.de/10015209731

A review on customer segmentation methods for personalized customer targeting in e-commerce use cases

Alves Gomes, Miguel; Meisen, Tobias - In: Information systems and e-business management : ISeB 21 (2023) 3, pp. 527-570

Persistent link: https://www.econbiz.de/10014420611

Machine learning and artificial neural networks to construct P2P lending credit-scoring model : a case using Lending Club data

Chang, An-Hsing; Yang, Li-Kai; Tsaih, Rua-Huan; Lin, … - In: Quantitative finance and economics 6 (2022) 2, pp. 303-325

Persistent link: https://www.econbiz.de/10013498955

Assessment of the benefits of information and communication technologies (ICT) adoption on downstream supply chain performance of the retail industry

Shiralkar, Kedar; Bongale, Arunkumar; Kumar, Satish; … - In: Logistics 5 (2021) 4, pp. 1-13

industry. This study employed the feature engineering technique to prioritize the functional elements of the supply chain to …

Persistent link: https://www.econbiz.de/10015194708

Assessment of the benefits of information and communication technologies (ICT) adoption on downstream supply chain performance of the retail industry

Shiralkar, Kedar; Bongale, Arunkumar; Kumar, Satish; … - In: Logistics 5 (2021) 4, pp. 1-13

industry. This study employed the feature engineering technique to prioritize the functional elements of the supply chain to …

Persistent link: https://www.econbiz.de/10012671325

Feature engineering for anti-fraud models based on anomaly detection

Przekop, Damian - In: Central European journal of economic modelling and … 12 (2020) 3, pp. 301-316

Persistent link: https://www.econbiz.de/10012294743