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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

Educational data mining : predictive analysis of academic performance of public school students in the capital of Brazil

Fernandes, Eduardo; Holanda, Maristela; Victorino, Marcio; … - In: Journal of business research : JBR 94 (2019), pp. 335-343

Persistent link: https://www.econbiz.de/10011947437

Default patterns in seven EU countries : a random forest approach

Behr, Andreas; Weinblat, Jurij - In: International journal of the economics of business 24 (2017) 2, pp. 181-222

Persistent link: https://www.econbiz.de/10011755502

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

A Decision Tree and Naïve Bayes algorithm for income tax prediction

Mabe-Madisa, G. V. - In: African journal of science, technology, innovation & … 10 (2018) 4, pp. 401-409

Persistent link: https://www.econbiz.de/10012147376

Application of the CRISP-DM model in predicting high school students' examination (CSEC/CXC) performance

Barclay, Corlane; Dennis, Andrew; Shepherd, Jerome - In: Knowledge discovery process and methods to enhance …, (pp. 279-302). 2015

Persistent link: https://www.econbiz.de/10012123354

A hybrid regression model for water quality prediction

Chakraborty, Tanujit; Chakraborty, Ashis Kumar; … - In: Opsearch : journal of the Operational Research Society … 56 (2019) 4, pp. 1167-1178

Persistent link: https://www.econbiz.de/10012126266

Machine learning applications in activity-travel behaviour research : a review

Koushik, Anil; Manoj, M.; Nezamuddin, N. - In: Transport reviews : a transnational transdisciplinary … 40 (2020) 3, pp. 288-311

Persistent link: https://www.econbiz.de/10012198300

Cascading logistic regression onto gradient boosted decision trees to predict stock market changes using technical analysis

Zhou, Feng; Zhang, Qun; Sornette, Didier; Jiang, Liu - 2018

In the data mining and machine learning fields, forecasting the direction of price change can be generally formulated as a supervised classfii cation. This paper attempts to predict the direction of daily changes of the Nasdaq Composite Index (NCI) and of the Standard & Poor's 500 Composite...

Persistent link: https://www.econbiz.de/10011900252

Decision trees unearth return sign predictability in the S&P 500

Fiévet, Lucas; Sornette, Didier - In: Quantitative finance 18 (2018) 11, pp. 1797-1814

Persistent link: https://www.econbiz.de/10012261997