A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5

By Jao-Hong Cheng, Huei-Ping Chen, Yi‐min Lin. 2010

54 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Tugrul U. Daim
2. Erkam Güresen
3. Gülgün Kayakutlu

In Management Science and Operations Research

1. Mohammad Modarres
2. Tugrul U. Daim
3. Sasan Barak
4. Erkam Güresen
5. Gülgün Kayakutlu
6. Saman Haratizadeh
7. Ehsan Hoseinzade
8. Prodromos Konstandinos Chourmouziadis

Citations in the corpus

• Developing an approach to evaluate stocks by forecasting effective features with data mining methods (2015, background): “Cheng, Chen, and Lin (2010) conducted a comprehensive study on macroeconomic and technical features and studied 8 financial ratios and 10 macroeconomic indicators to investigate their effect on return variation in Taiwan stock market.”
• Using artificial neural network models in stock market index prediction (2011, methodology): “Cheng, Chen, and Lin (2010) used PNN (Prbobabilistic NN), rough sets, and hybrid model (PNN, Rough Set, C 4.5 Decision Tree) to integrate fundamental analysis and technical analysis to build up a trading model of stock market timing.”