predicting market values for accurate marketing with the aid of machine learning algorithms

Nowadays, the welfare of modern societies depends on the economic situation of the market. at the heart of any market economy are financial markets with a balance between supply and demand. therefore, it is very important to study the market and learn about its features. understanding market movements and developments, primarily facilitates the ability to predict future developments. the ability to predict the economic situation of the market is equal to the ability to generate wealth by preventing financial losses and creating monetary gain. although the nature of markets is such that they are difficult to forecast, so much research have been done on market prediction using different methods. in this research, by combining fuzzy clustering as well as svm classifier, a new method will be presented to improve the accuracy of market value predicting. implementation of the proposed method and review of its performance showed that this method is superior to similar methods.

Predicting market values for accurate marketing with the aid of Machine Learning Algorithms

Nowadays, the welfare of modern societies depends on the economic situation of the market. At the heart of any market economy are financial markets with a balance between supply and demand. Therefore, it is very important to study the market and learn abo