Data Mining Models and Enterprise Risk Management
Author:
Publisher
Springer Berlin Heidelberg
Link
https://link.springer.com/content/pdf/10.1007/978-3-662-68038-4_9
Reference17 articles.
1. Akyol, M., & Uçar, E. (2021). Carbon footprint forecasting using time series data mining methods: The case of Turkey. Environmental Science and Pollution Research, 28, 38552–38562.
2. Chan, S. W. K., & Franklin, J. (2011). A text-based decision support system for financial sequence prediction. Decision Support Systems, 52(1), 189–198.
3. Damert, M., & Baumgartner, R. J. (2018). Intra-sectoral differences in climate change strategies: Evidence from the global automotive industry. Business Strategy and the Environment, 27, 265–281.
4. Debreceny, R. S., & Gray, G. L. (2010). Data mining journal entries for fraud detection: An exploratory study. International Journal of Accounting Information Systems, 11(3), 157–181.
5. Ghazali, S., Azadi, H., Janečková, K., Sklenička, P., Kurban, A., & Cakir, S. (2021). Indigenous knowledge about climate change and sustainability of nomadic livelihoods: Understanding adaptability coping strategies. Environment, Development and Sustainability, 23, 16744–16768.
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