Narrow search
Showing 1 - 10 of 3,801
Cover Image
A novel model structured on predictive churn methods in a banking organization
Silveira, Leonardo José; Pinheiro, Plácido Rogério; … - In: Journal of risk and financial management : JRFM 14 (2021) 10, pp. 1-24
dropouts by new customers costs, on average, 40% more. Aiming to mitigate the churn (customer evasion) phenomenon, this study … of the data and the developments of predictive models of churn were performed using the Orange data mining software. The …
Persistent link: https://www.econbiz.de/10012745384
Cover Image
A comparative analysis of machine learning algorithms for image classification : evaluating performance
Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024
Persistent link: https://www.econbiz.de/10014633436
Cover Image
Analysis of book sales prediction at Amazon marketplace in India : a machine learning approach
Sharma, Satyendra Kumar; Chakraborti, Swapnajit; Jha, Tanaya - In: Information systems and e-business management : ISeB 17 (2019) 2/4, pp. 261-284
Persistent link: https://www.econbiz.de/10012139413
Cover Image
Bitcoin forecasting performance measurement : a comparative study of econometric, machine learning and artificial intelligence-based models
Agrawal, Anshul; Mani, Mukta; Varshney, Sakshi - In: Journal of international commerce, economics and policy 14 (2023) 2, pp. 1-18
Persistent link: https://www.econbiz.de/10014365233
Cover Image
A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions
Afriyie, Jonathan Kwaku; Tawiah, Kassim; Pels, … - In: Decision analytics journal 6 (2023), pp. 1-12
Fraudsters are now more active in their attacks on credit card transactions than ever before. With the advancement in data science and machine learning, various algorithms have been developed to determine whether a transaction is fraudulent. We study the performance of three different machine...
Persistent link: https://www.econbiz.de/10014505835
Cover Image
Is artificial intelligence really more accurate in predicting bankruptcy?
Letkovský, Stanislav; Jeňcová, Sylvia; … - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-19
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...
Persistent link: https://www.econbiz.de/10014502270
Cover Image
Energy poverty prediction in the United Kingdom : a machine learning approach
Al Kez, Dlzar; Foley, Aoife; Abdul, Zrar Khald; … - In: Energy policy : the international journal of the … 184 (2024), pp. 1-17
Persistent link: https://www.econbiz.de/10014454912
Cover Image
Predicting financial performance for listed companies in Thailand during the transition period : a class-based approach using logistic regression and random forest algorithm
Pornpawee Supsermpol; Huynh, Van-Nam; Suttipong … - In: Journal of open innovation : technology, market, and … 9 (2023) 3, pp. 1-16
This study presents a class-based approach developed to evaluate the financial performance of companies that have undergone public listing on the stock market. By employing both statistical analysis and machine learning methods, the models consider two important determinants, which are the...
Persistent link: https://www.econbiz.de/10014504880
Cover Image
Comparative analysis of methods for prediction continuous numerical features on big datasets
Kinshakov, Eduard; Parfenenko, Yuliia; Shendryk, Vira - In: Technology audit and production reserves 6 (2021) 2/62, pp. 15-17
Persistent link: https://www.econbiz.de/10013167729
Cover Image
Analysing political opinions using machine learning
Joshi, Pragya; Kunwar, Akash Singh - In: International journal of public sector performance … 12 (2023) 4, pp. 524-539
Persistent link: https://www.econbiz.de/10015067277