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Tehran stock price modeling and forecasting using support vector regression (SVR) and its comparison with the classic model ARIMA
Hajibabaei, Saeed; Hajibabaei, Nematollah; Hosseini, … - In: Iranian economic review : journal of University of Tehran 18 (2014) 2, pp. 105-130
Persistent link: https://www.econbiz.de/10011455426
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Forecasting the stock exchange of Thailand using data mining techniques
Kanokkarn Snae Namahoot; Viphasiri Jantasri - In: International journal of electronic finance : IJEF 10 (2021) 4, pp. 211-231
Persistent link: https://www.econbiz.de/10012798947
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The role of text-extracted investor sentiment in Chinese stock price prediction with the enhancement of deep learning
Li, Yelin; Bu, Hui; Li, Jiahong; Wu, Junjie - In: International journal of forecasting 36 (2020) 4, pp. 1541-1562
Persistent link: https://www.econbiz.de/10012547079
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Development of an evolutionary fuzzy expert system for estimating future behavior of stock price
Mehmanpazir, Farhad; Asadi, Shahrokh - In: Journal of industrial engineering international 13 (2017) 1, pp. 29-46
The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is...
Persistent link: https://www.econbiz.de/10011563556
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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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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
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A stacking-based data mining solution to customer churn prediction
Shabankareh, Mohammad Javad; Shabankareh, Mohammad Ali; … - In: Journal of relationship marketing : innovations and … 21 (2022) 2, pp. 124-147
Persistent link: https://www.econbiz.de/10013336326
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Predicting bankruptcy after the Sarbanes-Oxley Act using the most current data mining approaches
Kwak, Wikil; Shi, Yong; Kou, Gang - In: Journal of business & economics research 10 (2012) 4, pp. 233-241
Persistent link: https://www.econbiz.de/10009545921
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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
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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