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Improving churn prediction using imperialist competitive algorithm for feature selection in telecom
Abbasimehr, Hossein; Bahrini, Aram - In: International journal of business information systems : … 45 (2024) 4, pp. 490-502
Persistent link: https://www.econbiz.de/10015061811
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Forecasting with Artificial Intelligence : Theory and Applications
Hamoudia, Mohsen (ed.); Makridakis, Spyros G. (ed.);  … - 2023
Part I. Artificial intelligence : present and future -- 1. Human intelligence (HI) versus artificial intelligence (AI) and intelligence augmentation (IA) -- 2. Expecting the future: How AI's potential performance will shape current behavior -- Part II. The status of machine learning methods for...
Persistent link: https://www.econbiz.de/10014369591
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Algorithmic fairness in business analytics : directions for research and practice
De-Arteaga, Maria; Feuerriegel, Stefan; … - In: Production and operations management : the flagship … 31 (2022) 10, pp. 3749-3770
Persistent link: https://www.econbiz.de/10013419394
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Applying machine learning algorithms to improve intrusion detection system in IoV
Houmer, Meriem; Ouaissa, Mariya; Ouaissa, Mariyam; … - In: Artificial intelligence of things in smart environments …, (pp. 35-50). 2022
Persistent link: https://www.econbiz.de/10013163586
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Review on Credit Card Fraud Detection using Data Mining Classification Techniques & Machine Learning Algorithms
Goyal, Rahul - 2020
Data mining (DM) involves a core algorithm that enables data deeper than basic insights and knowledge. In fact, data mining is more part of knowledge discovery process. Credit card (CC) providers provide multiple cards to their customers. All credit card users must be genuine and sincere. Giving...
Persistent link: https://www.econbiz.de/10012825175
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A tale of two recommender systems : the moderating role of consumer expertise on artificial intelligence based product recommendations
Chinchanachokchai, Sydney; Thontirawong, Pipat; … - In: Journal of retailing and consumer services 61 (2021), pp. 1-12
Persistent link: https://www.econbiz.de/10012581876
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Sarcasm detection using machine learning algorithms in Twitter : a systematic review
Samer Muthana Sarsam; Al-Samarraie, Hosam; Alzahrani, … - In: International journal of market research 62 (2020) 5, pp. 578-598
Persistent link: https://www.econbiz.de/10012308973
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The big data newsvendor : practical insights from machine learning
Ban, Gah-Yi; Rudin, Cynthia - In: Operations research 67 (2019) 1, pp. 90-108
Persistent link: https://www.econbiz.de/10012000794
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A comparative study of the leading machine learning techniques and two new optimization algorithms
Baumann, Philipp; Hochbaum, D. S.; Yang, Y. T. - In: European journal of operational research : EJOR 272 (2019) 3, pp. 1041-1057
Persistent link: https://www.econbiz.de/10011942734
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Ethical implications and accountability of algorithms
Martin, Kirsten - In: Journal of business ethics : JOBE 160 (2019) 4, pp. 835-850
Persistent link: https://www.econbiz.de/10012145415