Search Results - subject:"Data generation"

Enhancing financial fraud detection through addressing class imbalance using hybrid SMOTE-GAN techniques

Cheah, Patience Chew Yee; Yang, Yue; Lee, Boon Giin - In: International Journal of Financial Studies : open … 11 (2023) 3, pp. 1-17

hybrid (FNN+CNN). This study found that regardless of the data generation techniques applied, the classifier …’s hyperparameters can affect classification performance. The comparisons of various data generation techniques demonstrated the …

Persistent link: https://www.econbiz.de/10014414370

Comparing human and synthetic data in service research : using augmented language models to study service failures and recoveries

Bickley, Steven J.; Chan, Ho Fai; Dao, Bang; Torgler, Benno - In: The journal of services marketing 39 (2025) 1, pp. 36-52

Persistent link: https://www.econbiz.de/10015207232

Secure aggregation of power information resources based on improved transfer learning

He, Ruijin; Huang, Jinhua; Lu, Huiying; Wang, Xuxian; … - In: International journal of information technology and … 24 (2025) 3-4, pp. 259-280

Persistent link: https://www.econbiz.de/10015640274

An empirical analysis of a stock market index of a developing country: Case of the main index of the Casablanca Stock Exchange MASI

Zaimi, Wiam - In: Global Business & Finance Review (GBFR) 27 (2022) 4, pp. 1-16

random data generation processes widely used for stock prices: A Random Walk with a drift RW(») and an autoregressive process … to the process chosen to generate the artificial MASI returns series to know the most relevant data generation process in …

Persistent link: https://www.econbiz.de/10015098860

An empirical analysis of a stock market index of a developing country : case of the main index of the Casablanca Stock Exchange MASI

Zaimi, Wiam - In: Global business and finance review 27 (2022) 4, pp. 1-16

random data generation processes widely used for stock prices: A Random Walk with a drift RW(α) and an autoregressive process … to the process chosen to generate the artificial MASI returns series to know the most relevant data generation process in …

Persistent link: https://www.econbiz.de/10013433500

Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports

Garnica-Caparrós, Marc; Memmert, Daniel; Wunderlich, Fabian - In: Information Systems and e-Business Management 20 (2022) 3, pp. 551-580

quality of forecasts. As a proof of concept, a full data generation is showcased together with the main analytical advantages …

Persistent link: https://www.econbiz.de/10015205194

Artificial data in sports forecasting : a simulation framework for analysing predictive models in sports

Garnica-Caparrós, Marc; Memmert, Daniel; Wunderlich, Fabian - In: Information systems and e-business management : ISeB 20 (2022) 3, pp. 551-580

Persistent link: https://www.econbiz.de/10013433676

Housing gans : deep generation of housing market data

Yilmaz, Bilgi - In: Computational economics 64 (2024) 1, pp. 579-594

Persistent link: https://www.econbiz.de/10015078047

Advancing financial fraud detection : Self-attention generative adversarial networks for precise and effective identification

Zhao, Chuanjun; Sun, Xuzhuang; Wu, Meiling; Kang, Lu - In: Finance research letters 60 (2024), pp. 1-8

Persistent link: https://www.econbiz.de/10014490200

A generic business process model for conducting microsimulation studies

Burgard, Jan Pablo; Dieckmann, Hanna; Krause, Joscha; … - In: Statistics in transition : an international journal of … 21 (2020) 4, pp. 191-211

Microsimulations make use of quantitative methods to analyze complex phenomena in populations. They allow modeling socioeconomic systems based on micro-level units such as individuals, households, or institutional entities. However, conducting a microsimulation study can be challenging. It often...

Persistent link: https://www.econbiz.de/10012317769