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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

Exploration of soft computing approaches in itemset mining

Pillai, Jyothi; Vyas, O. P. - In: Emerging methods in predictive analytics : risk …, (pp. 270-296). 2014

Persistent link: https://www.econbiz.de/10010367394

A big data driven framework for demand-driven forecasting with effects of marketing-mix variables

Kumar, Ajay; Shankar, Ravi; Aljohani, Naif Radi - In: Industrial marketing management : the international … 90 (2020), pp. 493-507

Persistent link: https://www.econbiz.de/10012372710

Presenting a multi-objective intelligent dynamic model of preventive maintenance using data mining

Fatemi, Seyyed Shahram; Javadi, Mehrdad; Azizi, Amir; … - In: International journal of productivity and quality … 39 (2023) 3, pp. 362-386

Persistent link: https://www.econbiz.de/10014313682

Designing an adaptive neuro fuzzy inference system for prediction of customers satisfaction

Neshat, Mehdi; Pourahmad, Ali Akbar; Hasani, Mohammad Reza - In: Journal of information & knowledge management : JIKM 15 (2016) 4, pp. 1-21

Persistent link: https://www.econbiz.de/10011624366

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

Predicting online product sales, via online reviews, sentiments, and promotion strategies : a big data architecture and neural network approach

Chong, Alain Yee Loong; Li, Boying; Ngai, Eric W. T.; … - In: International journal of operations & production … 36 (2016) 4, pp. 358-383

Persistent link: https://www.econbiz.de/10011565365

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

Prediction of financial distress : an empirical study of listed Chinese companies using data mining

Geng, Ruibin; Bose, Indranil; Chen, Xi - In: European journal of operational research : EJOR 241 (2015) 1, pp. 236-247

Persistent link: https://www.econbiz.de/10010486864

Predictive end-to-end enterprise process network monitoring

Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & information systems engineering 65 (2023) 1, pp. 49-64

Persistent link: https://www.econbiz.de/10014228189

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