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Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree
Chen, Fu-Hsiang; Chi, Der-Jang; Wang, Yi-Cheng - In: Economic Modelling 46 (2015) C, pp. 1-10
The characteristic of long value chain, high-risk, high cost of research and development are belong to high knowledge based content in the biotech medical industry, and the reliability of biotechnology industry's financial statements and the earnings management behavior conducted by the...
Persistent link: https://www.econbiz.de/10011208946
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Risk factors selection with data mining methods for insurance premium ratemaking
Omerašević, Amela; Selimović, Jasmina - In: Zbornik radova Ekonomskog Fakulteta u Rijeci : časopis … 38 (2020) 2, pp. 667-696
Persistent link: https://www.econbiz.de/10012430478
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Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique
Jishan, Syed; Rashu, Raisul; Haque, Naheena; Rahman, … - In: Decision Analytics 2 (2015), pp. 1-25
There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visible area in the field of data mining and it can be applied to better understanding the...
Persistent link: https://www.econbiz.de/10010531019
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Integrating economic knowledge in data mining algorithms
Daniels, Hennie (contributor); Feelders, Ad (contributor) - 2001 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001612045
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Optimal neural network to enhance classification accuracy for mining online reviews and opinions using improved PSO
Dhanalakshmi, B.; Sekar, Arumugam Chandra - In: International journal of networking and virtual … 18 (2018) 4, pp. 338-356
Persistent link: https://www.econbiz.de/10011961422
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Application of integrated data mining techniques in stock market forecasting
Huang, Chin-yin; Lin, Philip K. P. - In: Cogent economics & finance 2 (2014) 1, pp. 2-17
techniques and supports the decision-making for stock trades. The proposed system embeds the top-down trading theory, artificial … neural network theory, technical analysis, dynamic time series theory, and Bayesian probability theory. To experimentally …
Persistent link: https://www.econbiz.de/10010482340
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Modelling and predicting student's academic performance using classification data mining techniques
Raza Hasan; Sellappan Palaniappan; Salman Mahmood; … - In: International journal of business information systems : … 34 (2020) 3, pp. 403-422
Persistent link: https://www.econbiz.de/10012253494
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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
A constant in the business world is the frequent movement of customers joining or abandoning companies’ services and products. The customer is one of the company’s most important assets. Reducing the customer abandonment rate has become a matter of survival and, at the same time, the most...
Persistent link: https://www.econbiz.de/10012745384
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A review of machine learning methods for diagnosis and classification of Thyroid disease
Rani, Sonia - In: Artificial intelligence enabled management : an …, (pp. 51-64). 2024
Persistent link: https://www.econbiz.de/10014554026
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Viability prediction for retail business units using data mining techniques : a practical application in the Greek pharmaceutical sector
Marinakos, Georgios; Daskalaki, Sophia - In: International journal of computational economics and … 6 (2016) 1, pp. 1-12
Persistent link: https://www.econbiz.de/10011588586